# Inkling 2 Small vs ZAYA1-8B

> ZAYA1-8B scores 61 (C) to Inkling 2 Small's 58.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/inkling-2-small-vs-zaya1-8b
- Markdown: https://www.anchorterminal.com/compare/inkling-2-small-vs-zaya1-8b.md (~9,400 tokens)
- Slim: https://www.anchorterminal.com/compare/inkling-2-small-vs-zaya1-8b.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/inkling-2-small-vs-zaya1-8b.json (this page as data, same URL with Accept: application/json)
- 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: 2026-11-12

ZAYA1-8B scores 61 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 1 of 4 scored categories. Inkling 2 Small leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Inkling 2 Small: grade C, 58.8/100, rank #102 of 161 open-weight models. Markdown https://www.anchorterminal.com/tools/inkling-2-small.md · JSON https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json
- ZAYA1-8B: grade C, 61/100, rank #85 of 161 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 6472 open weights comparisons: https://www.anchorterminal.com/compare/open-weights/index.md

## Which one, for what

### Inkling 2 Small (C)

Good for: Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image.

Ahead on:
- Risk, 65 against 55
- Agent interface, 85 against 60
- Documentation and upkeep, 67 against 50

Watch for: The smaller checkpoint needs about 472 GB, and Thinking Machines says 500 GB of GPU memory

### 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 40

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


## Why the edge

### Reach: ZAYA1-8B +40

- Inkling 2 Small (40): Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line. Runtimes 0, no released version of the six runs it; vLLM and SGLang serve it from their own images and Transformers has it on its main branch only. Builds 15, two precisions from the publisher (NVFP4 and MXFP8). Terms 10, Apache 2.0 with a binding acceptable use policy on top, read as a custom licence. Download 10, no gate. Hosted 5, Thinking Machines' own Tinker serves it as beta serverless inference, and Together is live on Hugging Face. 0 + 0 + 15 + 10 + 10 + 5 = 40.
- 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: Inkling 2 Small +25

- Inkling 2 Small (85): Chat template 20, a Jinja file in the repository. Tool-calling format 25, Thinking Machines' tml-renderers guide shows how tools are declared and how calls come back for this model, and its package ships the parser. Trained tool calling 20, several calls in one turn. Structured output 0, not documented. Reasoning control 10, thinking effort is set per request from none to xhigh, and the reasoning comes back in reasoning_content. Context 10, up to 1M tokens. 20 + 25 + 20 + 0 + 10 + 10 = 85.
- 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.

### Documentation and upkeep: Inkling 2 Small +17

- Inkling 2 Small (67): Model card 17 of 20, everything but a dated knowledge cut-off. Training data 15, an EU training-content summary with sources, mix, an October 2026 collection cut-off and filtering. Last change 20, the files were uploaded on 12 November 2026. Responsiveness 0, the repository has no questions yet, which reads as none answered. Version policy 5, a first release. File health 10, the files agree and no broken-file report waits. 17 + 15 + 20 + 0 + 5 + 10 = 67.
- 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.

### Risk: Inkling 2 Small +10

- Inkling 2 Small (65): File safety 25, safetensors only and no repository code to run. Provenance 15, the files are in the organisation Thinking Machines links to, with a SHA-256 on every LFS file. Safety evaluation 10, Thinking Machines' own StrongREJECT, FORTRESS, HoneyBench and DistressBench results and described outside red-teaming, but nothing an outside party published or a harness to rerun. Agent guidance 5, the card names safeguards to add but doesn't say what its refusals cover, with nothing on prompt injection. Licence risk 5, 10 off for a use policy that reaches beyond the law and that can change at any time. Security programme 5, a security.txt and a disclosure policy, with public advisories unchecked and scored as absent. 25 + 15 + 10 + 5 + 5 + 5 = 65.
- 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.

## Score by category

| Category | Weight | Inkling 2 Small | ZAYA1-8B | Edge |
| --- | --- | --- | --- | --- |
| Capability | 35%, pending | pending | pending | not scored in this run |
| Reach | 25% (25 this run) | 40 | 80 | ZAYA1-8B +40 |
| Risk | 20% (20 this run) | 65 | 55 | Inkling 2 Small +10 |
| Agent interface | 10% (10 this run) | 85 | 60 | Inkling 2 Small +25 |
| Documentation and upkeep | 10% (10 this run) | 67 | 50 | Inkling 2 Small +17 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **58.8 · C** | **61 · C** | |

## Facts side by side

| Fact | Inkling 2 Small | ZAYA1-8B |
| --- | --- | --- |
| Kind | Open-weight model | Open-weight model |
| Vendor | Thinking Machines Lab | Zyphra |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | no | no |
| Last release | 2026-11-12 | 2026-07-02 |
| Terms last updated | no document linked | no document linked |
| Privacy policy last updated | no document linked | no document linked |

## How the scores have moved

### Inkling 2 Small

- +6.7 on 12 November 2026 (D to C): product

### ZAYA1-8B

No score change since it was listed.

## Verdicts

**Inkling 2 Small.** Thinking Machines' newest open model, a 594B mixture-of-experts generalist with images in, several tool calls a turn and per-request thinking effort. The NVFP4 checkpoint needs about 472 GB, and no released runtime runs it yet, so today that means vLLM's or SGLang's own images, or Tinker and Together hosted. The use policy binds on download and can change.

**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

### Inkling 2 Small

1. No released runtime runs it yet. Serve the NVFP4 checkpoint from SGLang's dev-inkling-2-small image with the cookbook's recipe for your hardware, or from vLLM's vllm/vllm-openai:inkling-2-small image
2. In vLLM pass `--reasoning-parser inkling --enable-auto-tool-choice --tool-call-parser inkling`. In SGLang the tool-call parser is `inkling2` and the reasoning parser `inkling`
3. Transformers' main branch loads only thinkingmachines/Inkling-2-Small-MXFP8, the 622.8 GB checkpoint, and no release has the code yet
4. Pass `reasoning_effort` as none, minimal, low, medium, high (the default), xhigh or max, or a number from 0 to 0.99
5. Effort none conditions the model toward no reasoning but doesn't forbid it, and higher effort needs a larger max_tokens
6. Tool call arguments must reach the template as an object, not a JSON string, or it raises an error
7. Images should be 40 to 4096 px a side. The model takes no audio, and the template raises an error for an audio part
8. Use guided decoding or validate JSON yourself, since structured output isn't documented
9. Without the hardware, call it on Tinker's OpenAI-compatible endpoint with a Tinker key, at $0.30 input and $1.00 output per million tokens as read on 6 November 2026
10. Read the Model Acceptable Use Policy before deploying, it binds on download and bars some uses that are legal

### 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, Inkling 2 Small or ZAYA1-8B?

ZAYA1-8B scores 61 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 1 of 4 scored categories. Inkling 2 Small leads on risk, agent interface and documentation and upkeep.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/inkling-2-small-vs-zaya1-8b.json, and with the fewest tokens: https://www.anchorterminal.com/compare/inkling-2-small-vs-zaya1-8b.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "inkling-2-small", "b": "zaya1-8b"}`. From a terminal: `anchor compare inkling-2-small zaya1-8b`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/inkling-2-small.json and https://www.anchorterminal.com/api/v1/tools/zaya1-8b.json

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- [Inkling 2 Small vs MiniMax-M2.5](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-m2-5.md)
- [Inkling 2 Small vs MiniMax-M2.7](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-m2-7.md)
- [Inkling 2 Small vs MiniMax-M3.1-Flash](https://www.anchorterminal.com/compare/inkling-2-small-vs-minimax-m3-1-flash.md)
- [Inkling 2 Small vs Mistral Large 4](https://www.anchorterminal.com/compare/inkling-2-small-vs-mistral-large-4.md)
- [Inkling 2 Small vs Muse Glimmer 30B](https://www.anchorterminal.com/compare/inkling-2-small-vs-muse-glimmer-30b.md)
- [Inkling 2 Small vs Nanbeige4.2-3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nanbeige-4-2-3b.md)
- [Inkling 2 Small vs Nanbeige4.3-33B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nanbeige-4-3-33b.md)
- [Inkling 2 Small vs NVIDIA Nemotron 3.5 Bolt E4B 4GB](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-bolt-e4b-4gb.md)
- [Inkling 2 Small vs Nemotron 3.5 Lightning 30B A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-5-lightning-30b-a3b.md)
- [Inkling 2 Small vs Nemotron 3 Nano 30B A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-nano-30b-a3b.md)
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- [Inkling 2 Small vs Nemotron 3 Nano Omni 30B A3B Reasoning](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-nano-omni-30b-a3b-reasoning.md)
- [Inkling 2 Small vs Nemotron 3 Super 120B A12B](https://www.anchorterminal.com/compare/inkling-2-small-vs-nemotron-3-super-120b-a12b.md)
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- [Inkling 2 Small vs occamy-1.0](https://www.anchorterminal.com/compare/inkling-2-small-vs-occamy-1-0.md)
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- [Inkling 2 Small vs Ornith-1.5-122B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-122b.md)
- [Inkling 2 Small vs Ornith-1.5-35B-A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-35b-a3b.md)
- [Inkling 2 Small vs Ornith-1.5-397B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-397b.md)
- [Inkling 2 Small vs Ornith-1.5-9B](https://www.anchorterminal.com/compare/inkling-2-small-vs-ornith-1-5-9b.md)
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- [Inkling 2 Small vs Qwen3-4B-Instruct-2507](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-4b-instruct-2507.md)
- [Inkling 2 Small vs Qwen3.5-0.8B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-0-8b.md)
- [Inkling 2 Small vs Qwen3.5-122B-A10B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-122b-a10b.md)
- [Inkling 2 Small vs Qwen3.5-2B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-2b.md)
- [Inkling 2 Small vs Qwen3.5-397B-A17B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-397b-a17b.md)
- [Inkling 2 Small vs Qwen3.5-4B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-4b.md)
- [Inkling 2 Small vs Qwen3.5-9B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-5-9b.md)
- [Inkling 2 Small vs Qwen3.6-27B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-6-27b.md)
- [Inkling 2 Small vs Qwen3.6-35B-A3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-6-35b-a3b.md)
- [Inkling 2 Small vs Qwen3.8-27B](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-8-27b.md)
- [Inkling 2 Small vs Qwen3.8-Flash-Next](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-8-flash-next.md)
- [Inkling 2 Small vs Qwen3-Coder-30B-A3B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-coder-30b-a3b-instruct.md)
- [Inkling 2 Small vs Qwen3-Coder-Next](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-coder-next.md)
- [Inkling 2 Small vs Qwen3-Omni-30B-A3B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-omni-30b-a3b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-2B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-2b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-30B-A3B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-30b-a3b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-32B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-32b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-4B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-4b-instruct.md)
- [Inkling 2 Small vs Qwen3-VL-8B-Instruct](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwen3-vl-8b-instruct.md)
- [Inkling 2 Small vs Qwopus3.8-27B-Flash-V2](https://www.anchorterminal.com/compare/inkling-2-small-vs-qwopus3-8-27b-flash-v2.md)
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- [Inkling 2 Small vs SenseNova-Loop-9B-Preview](https://www.anchorterminal.com/compare/inkling-2-small-vs-sensenova-loop-9b-preview.md)
- [Inkling 2 Small vs SmolLM3-3B](https://www.anchorterminal.com/compare/inkling-2-small-vs-smollm3-3b.md)
- [Inkling 2 Small vs Spark-X2.6-4B](https://www.anchorterminal.com/compare/inkling-2-small-vs-spark-x2-6-4b.md)
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- [Inkling 2 Small vs Swift 1.5 Qwen3.8-27B](https://www.anchorterminal.com/compare/inkling-2-small-vs-swift-1-5-qwen3-8-27b.md)
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- [Inkling 2 Small vs ThinkingCap (Qwen3.8 27B)](https://www.anchorterminal.com/compare/inkling-2-small-vs-thinkingcap-qwen3-8-27b.md)
- [Inkling 2 Small vs Baidu Unlimited-OCR-2](https://www.anchorterminal.com/compare/inkling-2-small-vs-unlimited-ocr-2.md)
- [Inkling 2 Small vs WeVisOne-VL-2B](https://www.anchorterminal.com/compare/inkling-2-small-vs-wevisone-vl-2b.md)
- [Inkling 2 Small vs WeVisOne-VL-4B](https://www.anchorterminal.com/compare/inkling-2-small-vs-wevisone-vl-4b.md)
- [Inkling-Small vs ZAYA1-8B](https://www.anchorterminal.com/compare/inkling-small-vs-zaya1-8b.md)
- [Inkling vs Inkling 2 Small](https://www.anchorterminal.com/compare/inkling-vs-inkling-2-small.md)
- [Inkling vs ZAYA1-8B](https://www.anchorterminal.com/compare/inkling-vs-zaya1-8b.md)
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- [LFM3-Omni-2B vs ZAYA1-8B](https://www.anchorterminal.com/compare/lfm3-omni-2b-vs-zaya1-8b.md)
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- [Ling-3.1-flash-1019 vs ZAYA1-8B](https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-zaya1-8b.md)
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- [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)
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- [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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