Mistral Large 2 (2407) vs Qwen3-105B
Mistral Large 2 (2407) (2024) and Qwen3-105B (2025) are compact production models from MistralAI and Alibaba. Mistral Large 2 (2407) ships a 128k-token context window, while Qwen3-105B ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Qwen3-105B is safer overall; choose Mistral Large 2 (2407) when vision-heavy evaluation matters.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 (2407) | Qwen3-105B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | tool-calling agents |
| Decision fit | RAG, Long context, and Vision | RAG, Agents, and Long context |
| Context window | 128k | 128k |
| Cheapest output | $1.50/1M tokens | - |
| Provider routes | 3 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Large 2 (2407) has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 (2407) uniquely exposes Vision and Structured outputs in local model data.
- Local decision data tags Mistral Large 2 (2407) for RAG, Long context, and Vision.
- Qwen3-105B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Qwen3-105B for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral Large 2 (2407)
$775
Cheapest tracked route/tier: Chutes AI
Qwen3-105B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Large 2 (2407) and Qwen3-105B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Structured outputs before moving production traffic.
- Qwen3-105B adds Function calling and Tool use in local capability data.
- No overlapping tracked provider route is sourced for Qwen3-105B and Mistral Large 2 (2407); plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Mistral Large 2 (2407) adds Vision and Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-12-15 |
| Context window | 128k | 128k |
| Parameters | 123B | 105B |
| Architecture | decoder only | - |
| License | Mistral License | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Non-commercial only | Commercial use allowed |
| Knowledge cutoff | 2024-03 | 2025-02 |
Pricing and availability
| Pricing attribute | Mistral Large 2 (2407) | Qwen3-105B |
|---|---|---|
| Input price | $0.50/1M tokens | - |
| Output price | $1.50/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Mistral Large 2 (2407) | Qwen3-105B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Large 2 (2407), function calling: Qwen3-105B, tool use: Qwen3-105B, and structured outputs: Mistral Large 2 (2407). 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.
Pricing coverage is uneven: Mistral Large 2 (2407) has $0.50/1M input tokens and Qwen3-105B has no token price sourced yet. Provider availability is 3 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Mistral Large 2 (2407) when vision-heavy evaluation and broader provider choice are central to the workload. Choose Qwen3-105B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Mistral Large 2 (2407) or Qwen3-105B?
Mistral Large 2 (2407) supports 128k tokens, while Qwen3-105B supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Mistral Large 2 (2407) or Qwen3-105B open source?
Mistral Large 2 (2407) is listed under Mistral License. Qwen3-105B 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, Mistral Large 2 (2407) or Qwen3-105B?
Mistral Large 2 (2407) 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 function calling, Mistral Large 2 (2407) or Qwen3-105B?
Qwen3-105B has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for tool use, Mistral Large 2 (2407) or Qwen3-105B?
Qwen3-105B has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral Large 2 (2407) and Qwen3-105B?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. Qwen3-105B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.