# Cola2 vs ZAYA1-8B

> ZAYA1-8B scores 61 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b
- Markdown: https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.md (~8,500 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 <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. 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

ZAYA1-8B scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. Both do open-weight models you run yourself.

- Cola2: grade F, 33.9/100, rank #160 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/cola2.md · JSON https://www.anchorterminal.com/api/v1/tools/cola2.json
- ZAYA1-8B: grade C, 61/100, rank #85 of 160 open-weight models. Markdown https://www.anchorterminal.com/tools/zaya1-8b.md · JSON https://www.anchorterminal.com/api/v1/tools/zaya1-8b.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

### Cola2 (F)

Good for: Researchers working on latent or diffusion language models who want a checkpoint to study

Ahead on:
- Documentation and upkeep, 58 against 50

Watch for: No licence stated for the weights

### ZAYA1-8B (C)

Good for: People who want a small, fast reasoning model for maths and code and can live without tool calling

Ahead on:
- Reach, 80 against 25
- Risk, 55 against 40
- Agent interface, 60 against 20

Watch for: Tool calling needs a parser that only Zyphra's vLLM fork has


## Why the edge

### Reach: ZAYA1-8B +55

- Cola2 (25): Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB. Loaded as BF16, as the card's example does, it needs about half, but the line reads the file size. Runtimes 0, none of the six runs it in a released version. Builds 0, one set of weights and no quantised build. Terms 0, no licence for the weights. Download 10, the Hub API reports gated false on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and nothing names an API that serves it. 15 + 0 + 0 + 0 + 10 + 0 = 25.
- ZAYA1-8B (80): Memory 30, the smallest build from Zyphra is the MXFP4-Experts repository, 5.85 GB, and 5.85 GB × 1.2 = 7.0 GB, within 16 GB. Runtimes 10, Released Transformers 5.22.2 has the zaya model and SGLang 0.5.23 has srt/models/zaya.py. Builds 15, Quantised builds from Zyphra at two precisions, FP8 and MXFP4 for the experts, each in its own repository. Terms 15, Apache 2.0 in the card's metadata, an OSI licence with nothing added. Download 10, the Hub API reports gated false for the model and its builds on 10 November 2026, so the files download with no account and nothing to accept. Hosted 0, Hugging Face maps no inference provider to it, and the card names no API. Zyphra's site lists a cloud product for its open models, which wasn't checked for this model. 30 + 10 + 15 + 15 + 10 + 0 = 80.

### Agent interface: ZAYA1-8B +40

- Cola2 (20): Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer. Tool-calling format 0, none. Trained tool calling 0, not trained for tool calling. Structured output 0, Nothing about JSON or schema-constrained output. Reasoning control 0, no reasoning mode. Context 0, no context length is stated. 20 + 0 + 0 + 0 + 0 + 0 = 20.
- ZAYA1-8B (60): Chat template 20, chat_template.jinja in the repository (10,700 characters). Tool-calling format 10, only the template and a fork say it. Trained tool calling 10, the template takes tools and renders calls, and the card recommends settings for agent use, but it doesn't say the model was trained for tool calling or for several calls in a turn, so the lower band. Structured output 0, Nothing on the card about JSON or schema-constrained output. Reasoning control 10, the template has an enable_thinking switch, and the card names the qwen3 reasoning parser, which returns the reasoning apart from the answer. Context 10, 131,072 positions in config.json, for an architecture Zyphra trained end to end, so the config is the model's own. 20 + 10 + 10 + 0 + 10 + 10 = 60.

### Risk: ZAYA1-8B +15

- Cola2 (40): File safety 15, safetensors only, no .bin, .pt or .pth files (25). Provenance 15, the files sit in the ByteDance-Seed organisation, which the ByteDance-Seed GitHub repository for the model links to (10). Safety evaluation 0, no safety results. Agent guidance 5, General cautions in the GitHub model card: not instruction-tuned or safety-aligned, not for use as an assistant, for facts or advice, or for high-impact decisions about people. Licence risk 0, With no licence for the weights there is nothing to hold ByteDance to. Security programme 5, the GitHub repository's SECURITY.md sends reports to ByteDance's security centre and says how they're assessed (5). 15 + 15 + 0 + 5 + 0 + 5 = 40.
- ZAYA1-8B (55): File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository. Provenance 15, the files sit in the Zyphra organisation, which the card ties to zyphra.com's blog post for the model (10). Safety evaluation 0, no safety results on the card. Agent guidance 0, the card has no limitations or safety section, and nothing on prompt injection, instruction priority or what the model refuses. Licence risk 15, Apache 2.0 has no use policy, threshold or change clause. Security programme 0, no way to report a flaw on the card, and www.zyphra.com has no security.txt. 25 + 15 + 0 + 0 + 15 + 0 = 55.

### Documentation and upkeep: Cola2 +8

- Cola2 (58): Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model card it links. Training data 15, the GitHub model card names the source (OLMo 2 pretraining text, retokenised) and the mix by stage with token counts, 346.03B in all. Last change 20, All six commits are from 6 November 2026, four days before this check, the last one updating a checksum in the README. Responsiveness 0, no discussions on the repository, so nobody has asked anything yet and the line reads as none answered, as settled in calibration. Version policy 5, A first release. File health 10, Config, files and card agree: F32 weights, a float32 config and a card that says to load them as bfloat16, with SHA256SUMS to check the download. 8 + 15 + 20 + 0 + 5 + 10 = 58.
- ZAYA1-8B (50): Model card 5, Intended use and the parameter counts are on the card. Training data 0, Nothing on the card about the training data. Last change 10, the main repository last changed on 26 June 2026 (the checkpoint reshaped for Transformers), 137 days before this check, and the quantised repositories on 2 July, 131 days. Responsiveness 20, Of the 16 most recent discussions that aren't pull requests (7 May to 14 August 2026), 10 have a reply from a Zyphra member, which is most. Version policy 5, the original checkpoint is kept as ZAYA1-8B-legacy and the card says so at the top, without a date. File health 10, Config, template and card agree on the architecture after the reshape. 5 + 0 + 10 + 20 + 5 + 10 = 50.

## Score by category

| Category | Weight | Cola2 | ZAYA1-8B | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35%, pending | pending | pending | not scored in this run |
| Reach | 25% (25 this run) | 25 | 80 | ZAYA1-8B +55 |
| Risk | 20% (20 this run) | 40 | 55 | ZAYA1-8B +15 |
| Agent interface | 10% (10 this run) | 20 | 60 | ZAYA1-8B +40 |
| Documentation and upkeep | 10% (10 this run) | 58 | 50 | Cola2 +8 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **33.9 · F** | **61 · C** | |

## Facts side by side

| Fact | Cola2 | ZAYA1-8B |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | ByteDance (Seed) | Zyphra |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-11-06 | 2026-07-02 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |

## Verdicts

**Cola2.** A research release, and an honest one: ByteDance Seed says it's a base model with an unconverged latent stage, scoring below Llama-3-8B on its own table. It's here for people studying continuous-latent generation. Agents can't use it as a model: 32-token completions, no chat or tools, the repository's own code to load it, and no licence on the weights.

**ZAYA1-8B.** A small reasoning model trained from scratch by one lab, with a clean licence, 4-bit and FP8 builds and a team that answers questions. It's the hardest of the small models to run: its own architecture, a card that points at forks, and tool calling that needs a parser no release has. Little on limits, data or safety.

## Before you call either

### Cola2

1. Don't plan to use this as your model. It completes short prompts and wasn't tuned to follow instructions
2. Don't use it commercially on the strength of this listing. The weights have no stated licence
3. If you study it, read modeling_cola2.py first: trust_remote_code runs it
4. Pin Transformers below 5, as the card requires
5. Pass a seeded torch.Generator to generate(). Output varies between runs even with greedy decoding
6. Check the download with `sha256sum -c SHA256SUMS`

### ZAYA1-8B

1. Use it for reasoning, maths and code. Don't count on tool calling outside Zyphra's vLLM fork
2. Run it with Transformers 5.22.2 or SGLang 0.5.23, which have the model built in
3. Use temperature 1.0 and top_p 0.95 in general, and temperature 0.6 for agent and code work
4. Download `Zyphra/ZAYA1-8B`, not the legacy repository, for the released runtimes
5. The quantised repositories have no licence tag. The main one is Apache 2.0

## Questions

### Which is better for AI agents, Cola2 or ZAYA1-8B?

ZAYA1-8B scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cola2-vs-zaya1-8b.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cola2", "b": "zaya1-8b"}`. From a terminal: `anchor compare cola2 zaya1-8b`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cola2.json and https://www.anchorterminal.com/api/v1/tools/zaya1-8b.json

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- [Cola2 vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-2b-instruct.md)
- [Cola2 vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-30b-a3b-instruct.md)
- [Cola2 vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-32b-instruct.md)
- [Cola2 vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-4b-instruct.md)
- [Cola2 vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/cola2-vs-qwen3-vl-8b-instruct.md)
- [Cola2 vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/cola2-vs-qwopus3-8-27b-flash-v2.md)
- [Cola2 vs Recursive Flint](https://www.anchorterminal.com/compare/cola2-vs-recursive-flint.md)
- [Cola2 vs Ripple-65B Preview](https://www.anchorterminal.com/compare/cola2-vs-ripple-65b-preview.md)
- [Cola2 vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/cola2-vs-sensenova-loop-9b-preview.md)
- [Cola2 vs SmolLM3-3B](https://www.anchorterminal.com/compare/cola2-vs-smollm3-3b.md)
- [Cola2 vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/cola2-vs-spark-x2-6-4b.md)
- [Cola2 vs Step 3.7 Flash](https://www.anchorterminal.com/compare/cola2-vs-step-3-7-flash.md)
- [Cola2 vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-27b.md)
- [Cola2 vs Swift 1.5 Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/cola2-vs-swift-1-5-qwen3-8-flash-next.md)
- [Cola2 vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/cola2-vs-thinkingcap-qwen3-8-27b.md)
- [Cola2 vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/cola2-vs-unlimited-ocr-2.md)
- [Cola2 vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-2b.md)
- [Cola2 vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/cola2-vs-wevisone-vl-4b.md)
- [Cosmos-Reason2-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-zaya1-8b.md)
- [Darwin-36B-Opus vs ZAYA1-8B](https://www.anchorterminal.com/compare/darwin-36b-opus-vs-zaya1-8b.md)
- [DeepSeek-V3.2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/deepseek-v3-2-vs-zaya1-8b.md)
- [DeepSeek V4.1 Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-zaya1-8b.md)
- [DeepSeek-V4-Flash-0731 vs ZAYA1-8B](https://www.anchorterminal.com/compare/deepseek-v4-flash-0731-vs-zaya1-8b.md)
- [Devstral Small 2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/devstral-small-2-vs-zaya1-8b.md)
- [DiffusionGemma 26B A4B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/diffusiongemma-26b-a4b-it-vs-zaya1-8b.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 ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-12b-it-vs-zaya1-8b.md)
- [Gemma 4 26B A4B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-26b-a4b-it-vs-zaya1-8b.md)
- [Gemma 4 31B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-31b-it-vs-zaya1-8b.md)
- [Gemma 4 E2B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-e2b-it-vs-zaya1-8b.md)
- [Gemma 4 E4B IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/gemma-4-e4b-it-vs-zaya1-8b.md)
- [GLM-4.5-Air vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-4-5-air-vs-zaya1-8b.md)
- [GLM-4.7-Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-4-7-flash-vs-zaya1-8b.md)
- [GLM-5.3-Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-5-3-flash-vs-zaya1-8b.md)
- [GLM-5.3 vs ZAYA1-8B](https://www.anchorterminal.com/compare/glm-5-3-vs-zaya1-8b.md)
- [gpt-oss-120b vs ZAYA1-8B](https://www.anchorterminal.com/compare/gpt-oss-120b-vs-zaya1-8b.md)
- [gpt-oss-20b vs ZAYA1-8B](https://www.anchorterminal.com/compare/gpt-oss-20b-vs-zaya1-8b.md)
- [Granite 4.2 30B vs ZAYA1-8B](https://www.anchorterminal.com/compare/granite-4-2-30b-vs-zaya1-8b.md)
- [Granite 4.2 3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/granite-4-2-3b-vs-zaya1-8b.md)
- [Granite 4.2 8B vs ZAYA1-8B](https://www.anchorterminal.com/compare/granite-4-2-8b-vs-zaya1-8b.md)
- [Hy-Memory-30B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/hy-memory-30b-a3b-vs-zaya1-8b.md)
- [Hy3 vs ZAYA1-8B](https://www.anchorterminal.com/compare/hy3-vs-zaya1-8b.md)
- [Inkling-Small vs ZAYA1-8B](https://www.anchorterminal.com/compare/inkling-small-vs-zaya1-8b.md)
- [Inkling vs ZAYA1-8B](https://www.anchorterminal.com/compare/inkling-vs-zaya1-8b.md)
- [InternVL3.5-GPT-OSS-20B-A4B-Preview vs ZAYA1-8B](https://www.anchorterminal.com/compare/internvl3-5-gpt-oss-20b-a4b-preview-vs-zaya1-8b.md)
- [Kimi K3.1 Pro vs ZAYA1-8B](https://www.anchorterminal.com/compare/kimi-k3-1-pro-vs-zaya1-8b.md)
- [Kimi K3 vs ZAYA1-8B](https://www.anchorterminal.com/compare/kimi-k3-vs-zaya1-8b.md)
- [Kolibri-1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/kolibri-1-vs-zaya1-8b.md)
- [Kronos vs ZAYA1-8B](https://www.anchorterminal.com/compare/kronos-vs-zaya1-8b.md)
- [Laguna M.1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/laguna-m-1-vs-zaya1-8b.md)
- [Laguna S 2.1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/laguna-s-2-1-vs-zaya1-8b.md)
- [Laguna XS 2.1 vs ZAYA1-8B](https://www.anchorterminal.com/compare/laguna-xs-2-1-vs-zaya1-8b.md)
- [LBS-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lbs-27b-vs-zaya1-8b.md)
- [LFM2.5-2.6B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm2-5-2-6b-vs-zaya1-8b.md)
- [LFM3-1.7B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-1-7b-vs-zaya1-8b.md)
- [LFM3-Audio-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-audio-2b-vs-zaya1-8b.md)
- [LFM3-Omni-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-zaya1-8b.md)
- [LFM3-VL-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-vl-2b-vs-zaya1-8b.md)
- [Ling-3.0-tiny vs ZAYA1-8B](https://www.anchorterminal.com/compare/ling-3-0-tiny-vs-zaya1-8b.md)
- [Ling-3.1-flash-1019 vs ZAYA1-8B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-zaya1-8b.md)
- [LongCat-2.5 vs ZAYA1-8B](https://www.anchorterminal.com/compare/longcat-2-5-vs-zaya1-8b.md)
- [MiMo-V2.6 Distill Qwen 9B vs ZAYA1-8B](https://www.anchorterminal.com/compare/mimo-v2-6-distill-qwen-9b-vs-zaya1-8b.md)
- [MiMo-V2.6-Flash-RL vs ZAYA1-8B](https://www.anchorterminal.com/compare/mimo-v2-6-flash-rl-vs-zaya1-8b.md)
- [MiniCPM-o 4.5 vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm-o-4-5-vs-zaya1-8b.md)
- [MiniCPM-V 4.7 1B vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm-v-4-7-1b-vs-zaya1-8b.md)
- [MiniCPM-V 4.7 35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm-v-4-7-35b-a3b-vs-zaya1-8b.md)
- [MiniCPM5-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/minicpm5-2b-vs-zaya1-8b.md)
- [MiniMax-M2.5 vs ZAYA1-8B](https://www.anchorterminal.com/compare/minimax-m2-5-vs-zaya1-8b.md)
- [MiniMax-M2.7 vs ZAYA1-8B](https://www.anchorterminal.com/compare/minimax-m2-7-vs-zaya1-8b.md)
- [MiniMax-M3.1-Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/minimax-m3-1-flash-vs-zaya1-8b.md)
- [Mistral Large 4 vs ZAYA1-8B](https://www.anchorterminal.com/compare/mistral-large-4-vs-zaya1-8b.md)
- [Muse Glimmer 30B vs ZAYA1-8B](https://www.anchorterminal.com/compare/muse-glimmer-30b-vs-zaya1-8b.md)
- [Nanbeige4.2-3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nanbeige-4-2-3b-vs-zaya1-8b.md)
- [Nanbeige4.3-33B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nanbeige-4-3-33b-vs-zaya1-8b.md)
- [NVIDIA Nemotron 3.5 Bolt E4B 4GB vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-5-bolt-e4b-4gb-vs-zaya1-8b.md)
- [Nemotron 3.5 Lightning 30B A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-5-lightning-30b-a3b-vs-zaya1-8b.md)
- [Nemotron 3 Nano 30B A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-nano-30b-a3b-vs-zaya1-8b.md)
- [Nemotron 3 Nano 4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-nano-4b-vs-zaya1-8b.md)
- [Nemotron 3 Nano Omni 30B A3B Reasoning vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-nano-omni-30b-a3b-reasoning-vs-zaya1-8b.md)
- [Nemotron 3 Super 120B A12B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-super-120b-a12b-vs-zaya1-8b.md)
- [Nemotron 3 Ultra 550B A55B vs ZAYA1-8B](https://www.anchorterminal.com/compare/nemotron-3-ultra-550b-a55b-vs-zaya1-8b.md)
- [North Mini Code 1.0 vs ZAYA1-8B](https://www.anchorterminal.com/compare/north-mini-code-1-0-vs-zaya1-8b.md)
- [occamy-1.0 vs ZAYA1-8B](https://www.anchorterminal.com/compare/occamy-1-0-vs-zaya1-8b.md)
- [Olmo 3 7B Think vs ZAYA1-8B](https://www.anchorterminal.com/compare/olmo-3-7b-think-vs-zaya1-8b.md)
- [Ornith-1.5-122B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-122b-vs-zaya1-8b.md)
- [Ornith-1.5-35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-35b-a3b-vs-zaya1-8b.md)
- [Ornith-1.5-397B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-397b-vs-zaya1-8b.md)
- [Ornith-1.5-9B vs ZAYA1-8B](https://www.anchorterminal.com/compare/ornith-1-5-9b-vs-zaya1-8b.md)
- [OTel-2.0-LLM-31B-IT vs ZAYA1-8B](https://www.anchorterminal.com/compare/otel-2-0-llm-31b-it-vs-zaya1-8b.md)
- [Qwen-AgentWorld-35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen-agentworld-35b-a3b-vs-zaya1-8b.md)
- [Qwen3-30B-A3B-Instruct-2507 vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-30b-a3b-instruct-2507-vs-zaya1-8b.md)
- [Qwen3-4B-Instruct-2507 vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-4b-instruct-2507-vs-zaya1-8b.md)
- [Qwen3.5-0.8B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-0-8b-vs-zaya1-8b.md)
- [Qwen3.5-122B-A10B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-122b-a10b-vs-zaya1-8b.md)
- [Qwen3.5-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-2b-vs-zaya1-8b.md)
- [Qwen3.5-397B-A17B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-397b-a17b-vs-zaya1-8b.md)
- [Qwen3.5-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-4b-vs-zaya1-8b.md)
- [Qwen3.5-9B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-5-9b-vs-zaya1-8b.md)
- [Qwen3.6-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-6-27b-vs-zaya1-8b.md)
- [Qwen3.6-35B-A3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-6-35b-a3b-vs-zaya1-8b.md)
- [Qwen3.8-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-8-27b-vs-zaya1-8b.md)
- [Qwen3.8-Flash-Next vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-8-flash-next-vs-zaya1-8b.md)
- [Qwen3-Coder-30B-A3B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-coder-30b-a3b-instruct-vs-zaya1-8b.md)
- [Qwen3-Coder-Next vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-coder-next-vs-zaya1-8b.md)
- [Qwen3-Omni-30B-A3B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-omni-30b-a3b-instruct-vs-zaya1-8b.md)
- [Qwen3-VL-2B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-2b-instruct-vs-zaya1-8b.md)
- [Qwen3-VL-30B-A3B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-30b-a3b-instruct-vs-zaya1-8b.md)
- [Qwen3-VL-32B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-32b-instruct-vs-zaya1-8b.md)
- [Qwen3-VL-4B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-4b-instruct-vs-zaya1-8b.md)
- [Qwen3-VL-8B-Instruct vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwen3-vl-8b-instruct-vs-zaya1-8b.md)
- [Qwopus3.8-27B-Flash-V2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/qwopus3-8-27b-flash-v2-vs-zaya1-8b.md)
- [Recursive Flint vs ZAYA1-8B](https://www.anchorterminal.com/compare/recursive-flint-vs-zaya1-8b.md)
- [Ripple-65B Preview vs ZAYA1-8B](https://www.anchorterminal.com/compare/ripple-65b-preview-vs-zaya1-8b.md)
- [SenseNova-Loop-9B-Preview vs ZAYA1-8B](https://www.anchorterminal.com/compare/sensenova-loop-9b-preview-vs-zaya1-8b.md)
- [SmolLM3-3B vs ZAYA1-8B](https://www.anchorterminal.com/compare/smollm3-3b-vs-zaya1-8b.md)
- [Spark-X2.6-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/spark-x2-6-4b-vs-zaya1-8b.md)
- [Step 3.7 Flash vs ZAYA1-8B](https://www.anchorterminal.com/compare/step-3-7-flash-vs-zaya1-8b.md)
- [Swift 1.5 Qwen3.8-27B vs ZAYA1-8B](https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-27b-vs-zaya1-8b.md)
- [Swift 1.5 Qwen3.8-Flash-Next vs ZAYA1-8B](https://www.anchorterminal.com/compare/swift-1-5-qwen3-8-flash-next-vs-zaya1-8b.md)
- [ThinkingCap (Qwen3.8 27B) vs ZAYA1-8B](https://www.anchorterminal.com/compare/thinkingcap-qwen3-8-27b-vs-zaya1-8b.md)
- [Baidu Unlimited-OCR-2 vs ZAYA1-8B](https://www.anchorterminal.com/compare/unlimited-ocr-2-vs-zaya1-8b.md)
- [WeVisOne-VL-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/wevisone-vl-2b-vs-zaya1-8b.md)
- [WeVisOne-VL-4B vs ZAYA1-8B](https://www.anchorterminal.com/compare/wevisone-vl-4b-vs-zaya1-8b.md)

---

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