Hunyuan Hy3 Preview vs Mistral Large 3 675B Instruct
Hunyuan Hy3 Preview (2026) and Mistral Large 3 675B Instruct (2025) are frontier reasoning models from Tencent AI Lab and MistralAI. Hunyuan Hy3 Preview ships a 262k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On Google-Proof Q&A, Hunyuan Hy3 Preview leads by 43.3 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Hunyuan Hy3 Preview is ~658% cheaper at $0.07/1M; pay for Mistral Large 3 675B Instruct only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Hunyuan Hy3 Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, tool-calling agents, and provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 262k | 128k |
| Cheapest output | $0.26/1M tokens | $1.50/1M tokens |
| Provider routes | 2 tracked | 6 tracked |
| Shared benchmarks | Google-Proof Q&A leader | 1 shared |
Decision tradeoffs
- Hunyuan Hy3 Preview holds a shared-benchmark lead on Google-Proof Q&A, ahead by 43.3 points.
- Hunyuan Hy3 Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Hunyuan Hy3 Preview has the lower cheapest tracked output price at $0.26/1M tokens.
- Hunyuan Hy3 Preview uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Hunyuan Hy3 Preview for Coding, RAG, and Agents.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Mistral Large 3 675B Instruct for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Hunyuan Hy3 Preview
$118
Cheapest tracked route/tier: OpenRouter
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $657. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Large 3 675B Instruct is $1.24/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- Mistral Large 3 675B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Hunyuan Hy3 Preview is $1.24/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
- Hunyuan Hy3 Preview adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-22 | 2025-12-01 |
| Context window | 262k | 128k |
| Parameters | 295B | 675B |
| Architecture | Dense + MoE Hybrid | Decoder Only |
| License | Tencent Hunyuan Community License | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2024-11 |
Pricing and availability
| Pricing attribute | Hunyuan Hy3 Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.07/1M tokens | $0.50/1M tokens |
| Output price | $0.26/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Hunyuan Hy3 Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Hunyuan Hy3 Preview | Mistral Large 3 675B Instruct |
|---|---|---|
| Google-Proof Q&A | 87.2 | 43.9 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Hunyuan Hy3 Preview at 87.2 and Mistral Large 3 675B Instruct at 43.9, with Hunyuan Hy3 Preview ahead by 43.3 points. The largest visible gap is 43.3 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Mistral Large 3 675B Instruct, multimodal input: Mistral Large 3 675B Instruct, reasoning mode: Hunyuan Hy3 Preview, function calling: Hunyuan Hy3 Preview, tool use: Hunyuan Hy3 Preview, and structured outputs: Mistral Large 3 675B Instruct. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Hunyuan Hy3 Preview lists $0.07/1M input and $0.26/1M output tokens on the cheapest tracked provider, while Mistral Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Hunyuan Hy3 Preview lower by about $0.68 per million blended tokens. Availability is 2 providers versus 6, so concentration risk also matters.
Choose Hunyuan Hy3 Preview when reasoning depth, larger context windows, and lower input-token cost are central to the workload. Choose Mistral Large 3 675B Instruct when vision-heavy evaluation and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Hunyuan Hy3 Preview or Mistral Large 3 675B Instruct?
Hunyuan Hy3 Preview supports 262k tokens, while Mistral Large 3 675B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Hunyuan Hy3 Preview or Mistral Large 3 675B Instruct?
Hunyuan Hy3 Preview is cheaper on tracked token pricing. Hunyuan Hy3 Preview costs $0.07/1M input and $0.26/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Hunyuan Hy3 Preview or Mistral Large 3 675B Instruct open source?
Hunyuan Hy3 Preview is listed under Tencent Hunyuan Community License. Mistral Large 3 675B Instruct is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Hunyuan Hy3 Preview or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Hunyuan Hy3 Preview or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Hunyuan Hy3 Preview and Mistral Large 3 675B Instruct?
Hunyuan Hy3 Preview is available on OpenRouter and Tencent Cloud TI Platform. Mistral Large 3 675B Instruct is available on OpenRouter, AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.