# EXAONE 4.5 33B vs gpt-oss-120b > gpt-oss-120b scores 70.2 (BB) to EXAONE 4.5 33B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gpt-oss-120b - Markdown: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gpt-oss-120b.md (~9,600 tokens) - Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key) - DNS: dig +short TXT .grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.. and .vs.. under the zone, and the same under grade.letme.dev) - Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data) - Updated: 2026-11-10 gpt-oss-120b scores 70.2 (BB) on agent readiness against EXAONE 4.5 33B's 61 (C), and leads in 3 of 4 scored categories. EXAONE 4.5 33B leads on documentation and upkeep. Both do open-weight models you run yourself. - EXAONE 4.5 33B: grade C, 61/100, rank #61 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/exaone-4-5-33b.md · JSON https://www.anchorterminal.com/api/v1/tools/exaone-4-5-33b.json - gpt-oss-120b: grade BB, 70.2/100, rank #6 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/gpt-oss-120b.md · JSON https://www.anchorterminal.com/api/v1/tools/gpt-oss-120b.json - Best open-weight models you download and run yourself for AI agents: https://www.anchorterminal.com/best/open-weights/index.md - All 6359 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md ## Which one, for what ### EXAONE 4.5 33B (C) Good for: Researchers and students working on documents, Korean or multimodal agents who don't need commercial rights Ahead on: - Documentation and upkeep, 50 against 45 Watch for: Research and education only. No commercial use of the model or its output ### gpt-oss-120b (BB) Good for: Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support Ahead on: - Reach, 75 against 65 - Risk, 95 against 50 - Agent interface, 90 against 85 Also in its favour: - Agent-ready, a grade of BB or better Watch for: Needs about 78 GB, too big for 64 GB machines, and OpenAI ships only one precision ## Why the edge ### Risk: gpt-oss-120b +45 - EXAONE 4.5 33B (50): File safety 25, safetensors and GGUF only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the LGAI-EXAONE organisation (LG AI Research on the Hub), which the card's GitHub repository shares a name with and the licence in the repository is LG's (10). Safety evaluation 0, no safety results on the card. Agent guidance 5, General cautions: the limitation section lists inappropriate, biased, incorrect and outdated answers and tells users not to try to induce harmful output. Licence risk 5, 15 less 5 for field-of-use limits beyond the law (no commercial use, no building competing models) and 5 for terms the licensor can change or revoke (LG may amend the agreement at any time, and the licence is revocable). Security programme 0, no way to report a flaw on the card beyond a support contact, and www.lgresearch.ai has no security.txt. 25 + 15 + 0 + 5 + 5 + 0 = 50. - gpt-oss-120b (95): File safety earns 25, safetensors only, with metal/model.bin a raw format and not pickle, and nothing from the repository runs on load. Provenance earns 15, files in OpenAI's linked organisation with a hash for every file. Safety evaluation earns 20, published results with SecureBio as an outside evaluator. Agent guidance earns 15 for the trained instruction hierarchy with prompt-injection results. Licence risk keeps all 15. The security programme earns 5 for OpenAI's Bugcrowd programme and disclosure policy, and the advisories half scores 0 because GitHub couldn't be checked, not because it was found missing. ### Reach: gpt-oss-120b +10 - EXAONE 4.5 33B (65): Memory 20, the smallest build at 4 bits is LG's IQ4_XS GGUF, 18.03 GB with the 2.57 GB projector, and 20.60 GB × 1.2 = 24.7 GB, within 32 GB. Without the projector, for text only, it would fit 24 GB. Runtimes 15, Released vLLM 0.33.0 has exaone4_5.py, Transformers 5.22.2 has the exaone4_5 model, and llama.cpp b12242 has the architecture, with LG's own GGUF. Three at 5 each. Builds 15, LG publishes GGUF at five quantised precisions, an AWQ build and an FP8 build. Terms 5, Research and educational use only. Download 10, the Hub API reports gated false for all four repositories on 10 November 2026, so the files download with no account and no click-through, though the licence says downloading is acceptance. Hosted 0, Hugging Face maps no inference provider to it, and the card names no API that serves it. 20 + 15 + 15 + 5 + 10 + 0 = 65. - gpt-oss-120b (75): Memory earns 10, because the smallest 4-bit build, Ollama's 65 GB gpt-oss:120b, needs about 78 GB with the fifth added, which fits the reference machine but not 64 GB. Runtimes earn the full 25 from Transformers, vLLM, SGLang, llama.cpp and Ollama. Builds earn 10, since OpenAI ships one precision, MXFP4. Terms earn 15 for Apache 2.0 with a policy that asks only for lawful use. Download earns 10, with no gate or account. Hosted earns 5, since 11 inference providers serve it on Hugging Face even though OpenAI's own API doesn't. ### Agent interface: gpt-oss-120b +5 - EXAONE 4.5 33B (85): Chat template 20, chat_template.jinja in the repository (5,930 characters). Tool-calling format 25, the card's vLLM command names the parser, hermes with auto tool choice, and its agentic example calls tools from MCP servers through the OpenAI-compatible API, so declaration and return follow that API. Trained tool calling 20, the card reports agentic tool use among its language results and shows an agent run with several tool servers, and the template renders every call in a turn. Structured output 0, Nothing on the card about JSON or schema-constrained output. Reasoning control 10, enable_thinking is on by default and the card says to set it false for the non-reasoning mode, with an example of each. Context 10, 262,144 tokens per the card's configuration table and config.json, and the card's serve commands run at that length. 20 + 25 + 20 + 0 + 10 + 10 = 85. - gpt-oss-120b (90): The chat template earns 20, a Jinja file in the repository. The tool-calling format earns 25, since OpenAI documents declarations and returned calls in harmony and tells vLLM users to parse with openai-harmony. Trained tool calling earns 10, because each call stops generation, so calls come one at a time. Structured output earns 15 for the documented Response Formats section with a JSON Schema. Reasoning control earns 10, three effort levels per request with the reasoning on the analysis channel. Context earns 10 for 131,072 trained tokens. ### Documentation and upkeep: EXAONE 4.5 33B +5 - EXAONE 4.5 33B (50): Model card 20, Uses (the quickstart's question answering, document and agent examples), limitations, the architecture, the parameters, the context, the languages (in the metadata) and a knowledge cut-off of December 2024 are all on the card. Training data 5, A knowledge cut-off and one line on excluding personal, harmful and biased content, with no sources or sizes. Last change 10, the main repository last changed on 6 July 2026 (dependencies moved to official releases), 127 days before this check, and the FP8 repository on 9 August, 93 days. Responsiveness 0, none of the 5 most recent discussions that aren't pull requests (13 April to 4 May 2026) has a reply from an LGAI-EXAONE member, counted on 10 November by author flags and dates with a script, text not read. Version policy 5, EXAONE 4.0 and 4.0.1 stay in their own repositories and 4.5 came out in new ones, with no dated note on the older cards that we read. File health 10, Config, template and card agree on the architecture and the 262,144 tokens, and a July commit moved the dependencies to released versions. 20 + 5 + 10 + 0 + 5 + 10 = 50. - gpt-oss-120b (45): The model card earns 20, with all seven items in OpenAI's arXiv card. Training data earns 10, a general description with a cut-off. Last change earns 5, since the last change to code that runs the model was the Metal reference on 1 November 2025, a year before this check, and the files date from August 2025. It drops to 0 after 1 November 2026 unless the files, template or reference code change. Responsiveness earns 0, with no OpenAI reply in the 40 latest discussions. Version policy earns 5 as a first release. File health earns 5, the files agree but template and tokenizer reports wait without a reply. ## Score by category | Category | Weight | EXAONE 4.5 33B | gpt-oss-120b | Edge | | --- | --- | --- | --- | --- | | Capability | 35%, pending | pending | pending | not scored in this run | | Reach | 25% (25 this run) | 65 | 75 | gpt-oss-120b +10 | | Risk | 20% (20 this run) | 50 | 95 | gpt-oss-120b +45 | | Agent interface | 10% (10 this run) | 85 | 90 | gpt-oss-120b +5 | | Documentation and upkeep | 10% (10 this run) | 50 | 45 | EXAONE 4.5 33B +5 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **61 · C** | **70.2 · BB** | | ## Facts side by side | Fact | EXAONE 4.5 33B | gpt-oss-120b | | --- | --- | --- | | Kind | Open-weight model | Open-weight model | | Vendor | LG AI Research | OpenAI | | Hosted endpoint | no (local only) | no (local only) | | Transports | | | | Auth | None | None | | Pricing | Free | Free | | x402 | no | no | | Licence | EXAONE AI Model License Agreement 1.2 - NC (research and education only) | Apache-2.0 | | Read-only variant documented | no | no | | llms.txt | no | no | | Last release | 2026-07-06 | 2025-08-26 | | Terms last updated | not read yet | no document linked | | Privacy policy last updated | no document linked | no document linked | | Agent reviews | none | 3.5/5 (4) | ## Verdicts **EXAONE 4.5 33B.** A well-documented vision-language model with a full set of builds, tool calling, switchable reasoning, a 256K context and a stated knowledge cut-off. The licence decides whether you can use it: research and education only, output included, and LG can change the terms. Nothing answered on the repository and no safety results. **gpt-oss-120b.** A reasoning and agent cousin that runs in most runtimes under Apache 2.0 with published safety work. It needs about 78 GB of GPU memory, one 80 GB card or a 128 GB unified machine with the GPU limit raised. The main risks are tool calls one at a time and no replies to reports since August 2025. ## Before you call either ### EXAONE 4.5 33B 1. Don't use it, or anything it writes, commercially. The licence covers the output too 2. Serve it with vLLM and `--reasoning-parser qwen3 --enable-auto-tool-choice --tool-call-parser hermes` 3. Set `enable_thinking` false for a direct answer. Thinking is on by default 4. Use temperature 1.0, top_p 0.95 and presence_penalty 1.5 in general, and temperature 0.6 with top_k 20 for documents and Korean 5. For llama.cpp, load a projector file from LG's GGUF repository with the weights for image input 6. Its knowledge stops at December 2024 ### gpt-oss-120b 1. Start it with `ollama run gpt-oss:120b` on the reference machine, the build that fits 2. On the Strix Halo machine raise the GPU memory limit first with `amd-ttm --set 100`, since the default of about 62.8 GiB is below the 78 GB it needs 3. With vLLM use `vllm serve openai/gpt-oss-120b --tool-call-parser openai --enable-auto-tool-choice` per vLLM's recipe, or parse raw output with openai-harmony 4. Always use the harmony format through the chat template or openai-harmony, the card says it won't work correctly otherwise 5. Set `Reasoning: low` in the system message for short tasks, medium is the default 6. Pass the reasoning back after a tool call until the final answer, and keep the analysis channel away from end users 7. Expect one tool call per turn and loop, don't wait for parallel calls ## Questions ### Which is better for AI agents, EXAONE 4.5 33B or gpt-oss-120b? gpt-oss-120b scores 70.2 (BB) on agent readiness against EXAONE 4.5 33B's 61 (C), and leads in 3 of 4 scored categories. EXAONE 4.5 33B leads on documentation and upkeep. ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gpt-oss-120b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gpt-oss-120b.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "exaone-4-5-33b", "b": "gpt-oss-120b"}`. From a terminal: `anchor compare exaone-4-5-33b gpt-oss-120b` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/exaone-4-5-33b.json and https://www.anchorterminal.com/api/v1/tools/gpt-oss-120b.json ## Other comparisons with EXAONE 4.5 33B or gpt-oss-120b - [Agents-A1-4B vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/agents-a1-4b-vs-exaone-4-5-33b.md) - [Agents-A1-4B vs gpt-oss-120b](https://www.anchorterminal.com/compare/agents-a1-4b-vs-gpt-oss-120b.md) - [Apertus v1.5 8B vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-exaone-4-5-33b.md) - [Apertus v1.5 8B vs gpt-oss-120b](https://www.anchorterminal.com/compare/apertus-v1-5-8b-vs-gpt-oss-120b.md) - [Apodex-1.1-mini vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-exaone-4-5-33b.md) - [Apodex-1.1-mini vs gpt-oss-120b](https://www.anchorterminal.com/compare/apodex-1-1-mini-vs-gpt-oss-120b.md) - [Arete-27B vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/arete-27b-vs-exaone-4-5-33b.md) - [Arete-27B vs gpt-oss-120b](https://www.anchorterminal.com/compare/arete-27b-vs-gpt-oss-120b.md) - [BigBang-v1 vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/bigbang-v1-vs-exaone-4-5-33b.md) - [BigBang-v1 vs gpt-oss-120b](https://www.anchorterminal.com/compare/bigbang-v1-vs-gpt-oss-120b.md) - [Carbon-X vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/carbon-x-vs-exaone-4-5-33b.md) - [Carbon-X vs gpt-oss-120b](https://www.anchorterminal.com/compare/carbon-x-vs-gpt-oss-120b.md) - [Cola2 vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/cola2-vs-exaone-4-5-33b.md) - [Cola2 vs gpt-oss-120b](https://www.anchorterminal.com/compare/cola2-vs-gpt-oss-120b.md) - [Cosmos-Reason2-2B vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-exaone-4-5-33b.md) - [Cosmos-Reason2-2B vs gpt-oss-120b](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-gpt-oss-120b.md) - [Darwin-36B-Opus vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-exaone-4-5-33b.md) - [Darwin-36B-Opus vs gpt-oss-120b](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-gpt-oss-120b.md) - [DeepSeek-V3.2 vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-exaone-4-5-33b.md) - [DeepSeek-V3.2 vs gpt-oss-120b](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-gpt-oss-120b.md) - [DeepSeek V4.1 Flash vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-exaone-4-5-33b.md) - [DeepSeek V4.1 Flash vs gpt-oss-120b](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-gpt-oss-120b.md) - [DeepSeek-V4-Flash-0731 vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-exaone-4-5-33b.md) - [DeepSeek-V4-Flash-0731 vs gpt-oss-120b](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-gpt-oss-120b.md) - [Devstral Small 2 vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/devstral-small-2-vs-exaone-4-5-33b.md) - [Devstral Small 2 vs gpt-oss-120b](https://www.anchorterminal.com/compare/devstral-small-2-vs-gpt-oss-120b.md) - [DiffusionGemma 26B A4B IT vs EXAONE 4.5 33B](https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-exaone-4-5-33b.md) - [DiffusionGemma 26B A4B IT vs gpt-oss-120b](https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-gpt-oss-120b.md) - [EXAONE 4.5 33B vs Gemma 4 12B IT](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gemma-4-12b-it.md) - [EXAONE 4.5 33B vs Gemma 4 26B A4B IT](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gemma-4-26b-a4b-it.md) - [EXAONE 4.5 33B vs Gemma 4 31B IT](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gemma-4-31b-it.md) - [EXAONE 4.5 33B vs Gemma 4 E2B IT](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gemma-4-e2b-it.md) - [EXAONE 4.5 33B vs Gemma 4 E4B IT](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gemma-4-e4b-it.md) - [EXAONE 4.5 33B vs GLM-4.5-Air](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-glm-4-5-air.md) - [EXAONE 4.5 33B vs GLM-4.7-Flash](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-glm-4-7-flash.md) - [EXAONE 4.5 33B vs GLM-5.3](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-glm-5-3.md) - [EXAONE 4.5 33B vs GLM-5.3-Flash](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-glm-5-3-flash.md) - [EXAONE 4.5 33B vs gpt-oss-20b](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-gpt-oss-20b.md) - [EXAONE 4.5 33B vs Granite 4.2 30B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-granite-4-2-30b.md) - [EXAONE 4.5 33B vs Granite 4.2 3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-granite-4-2-3b.md) - [EXAONE 4.5 33B vs Granite 4.2 8B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-granite-4-2-8b.md) - [EXAONE 4.5 33B vs Hy-Memory-30B-A3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-hy-memory-30b-a3b.md) - [EXAONE 4.5 33B vs Hy3](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-hy3.md) - [EXAONE 4.5 33B vs Inkling](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-inkling.md) - [EXAONE 4.5 33B vs Inkling-Small](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-inkling-small.md) - [EXAONE 4.5 33B vs InternVL3.5-GPT-OSS-20B-A4B-Preview](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-internvl3-5-gpt-oss-20b-a4b-preview.md) - [EXAONE 4.5 33B vs Kimi K3](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-kimi-k3.md) - [EXAONE 4.5 33B vs Kimi K3.1 Pro](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-kimi-k3-1-pro.md) - [EXAONE 4.5 33B vs Kolibri-1](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-kolibri-1.md) - [EXAONE 4.5 33B vs Kronos](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-kronos.md) - [EXAONE 4.5 33B vs Laguna M.1](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-laguna-m-1.md) - [EXAONE 4.5 33B vs Laguna S 2.1](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-laguna-s-2-1.md) - [EXAONE 4.5 33B vs Laguna XS 2.1](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-laguna-xs-2-1.md) - [EXAONE 4.5 33B vs LBS-27B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lbs-27b.md) - [EXAONE 4.5 33B vs LFM2.5-2.6B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lfm2-5-2-6b.md) - [EXAONE 4.5 33B vs LFM3-1.7B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lfm3-1-7b.md) - [EXAONE 4.5 33B vs LFM3-Audio-2B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lfm3-audio-2b.md) - [EXAONE 4.5 33B vs LFM3-Omni-2B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lfm3-omni-2b.md) - [EXAONE 4.5 33B vs LFM3-VL-2B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-lfm3-vl-2b.md) - [EXAONE 4.5 33B vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ling-3-0-tiny.md) - [EXAONE 4.5 33B vs Ling-3.1-flash-1019](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ling-3-1-flash-1019.md) - [EXAONE 4.5 33B vs LongCat-2.5](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-longcat-2-5.md) - [EXAONE 4.5 33B vs MiMo-V2.6 Distill Qwen 9B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-mimo-v2-6-distill-qwen-9b.md) - [EXAONE 4.5 33B vs MiMo-V2.6-Flash-RL](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-mimo-v2-6-flash-rl.md) - [EXAONE 4.5 33B vs MiniCPM-o 4.5](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-minicpm-o-4-5.md) - [EXAONE 4.5 33B vs MiniCPM-V 4.7 1B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-minicpm-v-4-7-1b.md) - [EXAONE 4.5 33B vs MiniCPM-V 4.7 35B-A3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-minicpm-v-4-7-35b-a3b.md) - [EXAONE 4.5 33B vs MiniCPM5-2B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-minicpm5-2b.md) - [EXAONE 4.5 33B vs MiniMax-M2.5](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-minimax-m2-5.md) - [EXAONE 4.5 33B vs MiniMax-M2.7](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-minimax-m2-7.md) - [EXAONE 4.5 33B vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-minimax-m3-1-flash.md) - [EXAONE 4.5 33B vs Mistral Large 4](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-mistral-large-4.md) - [EXAONE 4.5 33B vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-muse-glimmer-30b.md) - [EXAONE 4.5 33B vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nanbeige-4-2-3b.md) - [EXAONE 4.5 33B vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nanbeige-4-3-33b.md) - [EXAONE 4.5 33B vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-5-bolt-e4b-4gb.md) - [EXAONE 4.5 33B vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-5-lightning-30b-a3b.md) - [EXAONE 4.5 33B vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-nano-30b-a3b.md) - [EXAONE 4.5 33B vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-nano-4b.md) - [EXAONE 4.5 33B vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md) - [EXAONE 4.5 33B vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-super-120b-a12b.md) - [EXAONE 4.5 33B vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-nemotron-3-ultra-550b-a55b.md) - [EXAONE 4.5 33B vs North Mini Code 1.0](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-north-mini-code-1-0.md) - [EXAONE 4.5 33B vs occamy-1.0](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-occamy-1-0.md) - [EXAONE 4.5 33B vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-olmo-3-7b-think.md) - [EXAONE 4.5 33B vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ornith-1-5-122b.md) - [EXAONE 4.5 33B vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ornith-1-5-35b-a3b.md) - [EXAONE 4.5 33B vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ornith-1-5-397b.md) - [EXAONE 4.5 33B vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ornith-1-5-9b.md) - [EXAONE 4.5 33B vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-otel-2-0-llm-31b-it.md) - [EXAONE 4.5 33B vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen-agentworld-35b-a3b.md) - [EXAONE 4.5 33B vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-30b-a3b-instruct-2507.md) - [EXAONE 4.5 33B vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-4b-instruct-2507.md) - [EXAONE 4.5 33B vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-0-8b.md) - [EXAONE 4.5 33B vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-122b-a10b.md) - [EXAONE 4.5 33B vs Qwen3.5-2B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-2b.md) - [EXAONE 4.5 33B vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-397b-a17b.md) - [EXAONE 4.5 33B vs Qwen3.5-4B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-4b.md) - [EXAONE 4.5 33B vs Qwen3.5-9B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-5-9b.md) - [EXAONE 4.5 33B vs Qwen3.6-27B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-6-27b.md) - [EXAONE 4.5 33B vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-6-35b-a3b.md) - [EXAONE 4.5 33B vs Qwen3.8-27B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-8-27b.md) - [EXAONE 4.5 33B vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-8-flash-next.md) - [EXAONE 4.5 33B vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-coder-30b-a3b-instruct.md) - [EXAONE 4.5 33B vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-coder-next.md) - [EXAONE 4.5 33B vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-omni-30b-a3b-instruct.md) - [EXAONE 4.5 33B vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-vl-2b-instruct.md) - [EXAONE 4.5 33B vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-vl-30b-a3b-instruct.md) - [EXAONE 4.5 33B vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-vl-32b-instruct.md) - [EXAONE 4.5 33B vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-vl-4b-instruct.md) - [EXAONE 4.5 33B vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwen3-vl-8b-instruct.md) - [EXAONE 4.5 33B vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-qwopus3-8-27b-flash-v2.md) - [EXAONE 4.5 33B vs Recursive Flint](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-recursive-flint.md) - [EXAONE 4.5 33B vs Ripple-65B Preview](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-ripple-65b-preview.md) - [EXAONE 4.5 33B vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-sensenova-loop-9b-preview.md) - [EXAONE 4.5 33B vs SmolLM3-3B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-smollm3-3b.md) - [EXAONE 4.5 33B vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-spark-x2-6-4b.md) - [EXAONE 4.5 33B vs Step 3.7 Flash](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-step-3-7-flash.md) - [EXAONE 4.5 33B vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-swift-1-5-qwen3-8-27b.md) - [EXAONE 4.5 33B vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-swift-1-5-qwen3-8-flash-next.md) - [EXAONE 4.5 33B vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-thinkingcap-qwen3-8-27b.md) - [EXAONE 4.5 33B vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-unlimited-ocr-2.md) - [EXAONE 4.5 33B vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-wevisone-vl-2b.md) - [EXAONE 4.5 33B vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-wevisone-vl-4b.md) - [EXAONE 4.5 33B vs ZAYA1-8B](https://www.anchorterminal.com/compare/exaone-4-5-33b-vs-zaya1-8b.md) - [Gemma 4 12B IT vs gpt-oss-120b](https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-gpt-oss-120b.md) - [Gemma 4 26B A4B IT vs gpt-oss-120b](https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-gpt-oss-120b.md) - [Gemma 4 31B IT vs gpt-oss-120b](https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-gpt-oss-120b.md) - [Gemma 4 E2B IT vs gpt-oss-120b](https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-gpt-oss-120b.md) - [Gemma 4 E4B IT vs gpt-oss-120b](https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-gpt-oss-120b.md) - [GLM-4.5-Air vs gpt-oss-120b](https://www.anchorterminal.com/compare/glm-4-5-air-vs-gpt-oss-120b.md) - [GLM-4.7-Flash vs gpt-oss-120b](https://www.anchorterminal.com/compare/glm-4-7-flash-vs-gpt-oss-120b.md) - [GLM-5.3-Flash vs gpt-oss-120b](https://www.anchorterminal.com/compare/glm-5-3-flash-vs-gpt-oss-120b.md) - [GLM-5.3 vs gpt-oss-120b](https://www.anchorterminal.com/compare/glm-5-3-vs-gpt-oss-120b.md) - [gpt-oss-120b vs gpt-oss-20b](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-gpt-oss-20b.md) - [gpt-oss-120b vs Granite 4.2 30B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-granite-4-2-30b.md) - [gpt-oss-120b vs Granite 4.2 3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-granite-4-2-3b.md) - [gpt-oss-120b vs Granite 4.2 8B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-granite-4-2-8b.md) - [gpt-oss-120b vs Hy-Memory-30B-A3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-hy-memory-30b-a3b.md) - [gpt-oss-120b vs Hy3](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-hy3.md) - [gpt-oss-120b vs Inkling](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-inkling.md) - [gpt-oss-120b vs Inkling-Small](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-inkling-small.md) - [gpt-oss-120b vs InternVL3.5-GPT-OSS-20B-A4B-Preview](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-internvl3-5-gpt-oss-20b-a4b-preview.md) - [gpt-oss-120b vs Kimi K3](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kimi-k3.md) - [gpt-oss-120b vs Kimi K3.1 Pro](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kimi-k3-1-pro.md) - [gpt-oss-120b vs Kolibri-1](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kolibri-1.md) - [gpt-oss-120b vs Kronos](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kronos.md) - [gpt-oss-120b vs Laguna M.1](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-m-1.md) - [gpt-oss-120b vs Laguna S 2.1](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-s-2-1.md) - [gpt-oss-120b vs Laguna XS 2.1](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-laguna-xs-2-1.md) - [gpt-oss-120b vs LBS-27B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lbs-27b.md) - [gpt-oss-120b vs LFM2.5-2.6B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lfm2-5-2-6b.md) - [gpt-oss-120b vs LFM3-1.7B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lfm3-1-7b.md) - [gpt-oss-120b vs LFM3-Audio-2B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lfm3-audio-2b.md) - [gpt-oss-120b vs LFM3-Omni-2B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lfm3-omni-2b.md) - [gpt-oss-120b vs LFM3-VL-2B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-lfm3-vl-2b.md) - [gpt-oss-120b vs Ling-3.0-tiny](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ling-3-0-tiny.md) - [gpt-oss-120b vs Ling-3.1-flash-1019](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ling-3-1-flash-1019.md) - [gpt-oss-120b vs LongCat-2.5](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-longcat-2-5.md) - [gpt-oss-120b vs MiMo-V2.6 Distill Qwen 9B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-mimo-v2-6-distill-qwen-9b.md) - [gpt-oss-120b vs MiMo-V2.6-Flash-RL](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-mimo-v2-6-flash-rl.md) - [gpt-oss-120b vs MiniCPM-o 4.5](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-o-4-5.md) - [gpt-oss-120b vs MiniCPM-V 4.7 1B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-v-4-7-1b.md) - [gpt-oss-120b vs MiniCPM-V 4.7 35B-A3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm-v-4-7-35b-a3b.md) - [gpt-oss-120b vs MiniCPM5-2B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minicpm5-2b.md) - [gpt-oss-120b vs MiniMax-M2.5](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minimax-m2-5.md) - [gpt-oss-120b vs MiniMax-M2.7](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minimax-m2-7.md) - [gpt-oss-120b vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-minimax-m3-1-flash.md) - [gpt-oss-120b vs Mistral Large 4](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-mistral-large-4.md) - [gpt-oss-120b vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-muse-glimmer-30b.md) - [gpt-oss-120b vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nanbeige-4-2-3b.md) - [gpt-oss-120b vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nanbeige-4-3-33b.md) - [gpt-oss-120b vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-5-bolt-e4b-4gb.md) - [gpt-oss-120b vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-5-lightning-30b-a3b.md) - [gpt-oss-120b vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-30b-a3b.md) - [gpt-oss-120b vs Nemotron 3 Nano 4B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-4b.md) - [gpt-oss-120b vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md) - [gpt-oss-120b vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-super-120b-a12b.md) - [gpt-oss-120b vs Nemotron 3 Ultra 550B A55B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-nemotron-3-ultra-550b-a55b.md) - [gpt-oss-120b vs North Mini Code 1.0](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-north-mini-code-1-0.md) - [gpt-oss-120b vs occamy-1.0](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-occamy-1-0.md) - [gpt-oss-120b vs Olmo 3 7B Think](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-olmo-3-7b-think.md) - [gpt-oss-120b vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-122b.md) - [gpt-oss-120b vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-35b-a3b.md) - [gpt-oss-120b vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-397b.md) - [gpt-oss-120b vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ornith-1-5-9b.md) - [gpt-oss-120b vs OTel-2.0-LLM-31B-IT](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-otel-2-0-llm-31b-it.md) - [gpt-oss-120b vs Qwen-AgentWorld-35B-A3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen-agentworld-35b-a3b.md) - [gpt-oss-120b vs Qwen3-30B-A3B-Instruct-2507](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-30b-a3b-instruct-2507.md) - [gpt-oss-120b vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-4b-instruct-2507.md) - [gpt-oss-120b vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-0-8b.md) - [gpt-oss-120b vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-122b-a10b.md) - [gpt-oss-120b vs Qwen3.5-2B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-2b.md) - [gpt-oss-120b vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-397b-a17b.md) - [gpt-oss-120b vs Qwen3.5-4B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-4b.md) - [gpt-oss-120b vs Qwen3.5-9B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-5-9b.md) - [gpt-oss-120b vs Qwen3.6-27B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-6-27b.md) - [gpt-oss-120b vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-6-35b-a3b.md) - [gpt-oss-120b vs Qwen3.8-27B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-8-27b.md) - [gpt-oss-120b vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-8-flash-next.md) - [gpt-oss-120b vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-coder-30b-a3b-instruct.md) - [gpt-oss-120b vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-coder-next.md) - [gpt-oss-120b vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-omni-30b-a3b-instruct.md) - [gpt-oss-120b vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-2b-instruct.md) - [gpt-oss-120b vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-30b-a3b-instruct.md) - [gpt-oss-120b vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-32b-instruct.md) - [gpt-oss-120b vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-4b-instruct.md) - [gpt-oss-120b vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwen3-vl-8b-instruct.md) - [gpt-oss-120b vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-qwopus3-8-27b-flash-v2.md) - [gpt-oss-120b vs Recursive Flint](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-recursive-flint.md) - [gpt-oss-120b vs Ripple-65B Preview](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-ripple-65b-preview.md) - [gpt-oss-120b vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-sensenova-loop-9b-preview.md) - [gpt-oss-120b vs SmolLM3-3B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-smollm3-3b.md) - [gpt-oss-120b vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-spark-x2-6-4b.md) - [gpt-oss-120b vs Step 3.7 Flash](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-step-3-7-flash.md) - [gpt-oss-120b vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-swift-1-5-qwen3-8-27b.md) - [gpt-oss-120b vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-swift-1-5-qwen3-8-flash-next.md) - [gpt-oss-120b vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-thinkingcap-qwen3-8-27b.md) - [gpt-oss-120b vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-unlimited-ocr-2.md) - [gpt-oss-120b vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-wevisone-vl-2b.md) - [gpt-oss-120b vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-wevisone-vl-4b.md) - [gpt-oss-120b vs ZAYA1-8B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-zaya1-8b.md) --- Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp