Mistral Large 2 vs Qwen3-Max
Mistral Large 2 (2025) and Qwen3-Max (2025) are compact production models from MistralAI and Alibaba. Mistral Large 2 ships a 128k-token context window, while Qwen3-Max ships a 262k-token context window. On pricing, Mistral Large 2 costs $0.48/1M input tokens; Qwen3-Max ranges from $1.20 to $3/1M input tokens by tier. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 2 is safer overall; choose Qwen3-Max when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 | Qwen3-Max |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 262k |
| Cheapest output | $2.40/1M tokens | $3.90/1M tokens |
| Provider routes | 4 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Large 2 has the lower cheapest tracked output price at $2.40/1M tokens.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
- Qwen3-Max has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Qwen3-Max 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.
Mistral Large 2
$984
Cheapest tracked route/tier: AWS Bedrock
Qwen3-Max
$1,599
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $615. 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.
- Qwen3-Max is $1.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Mistral Large 2 is $1.50/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-25 | 2025-04-28 |
| Context window | 128k | 262k |
| Parameters | 123B | — |
| Architecture | decoder only | decoder only |
| License | Mistral License | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Non-commercial only | Commercial use allowed |
| Knowledge cutoff | 2025-07 | 2025-12 |
Pricing and availability
| Pricing attribute | Mistral Large 2 | Qwen3-Max |
|---|---|---|
| Input price | $0.48/1M tokens |
|
| Output price | $2.40/1M tokens |
|
| Providers |
Capabilities
| Capability | Mistral Large 2 | Qwen3-Max |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| 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 is close: both models cover vision, multimodal input, function calling, tool use, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, Mistral Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider, while Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output. A 70/30 input-output blend puts Mistral Large 2 lower by about $0.66 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 4 providers versus 3, so concentration risk also matters.
Choose Mistral Large 2 when vision-heavy evaluation, lower input-token cost, and broader provider choice are central to the workload. Choose Qwen3-Max when long-context analysis and larger context windows 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, Mistral Large 2 or Qwen3-Max?
Qwen3-Max supports 262k tokens, while Mistral Large 2 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, Mistral Large 2 or Qwen3-Max?
Mistral Large 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. Qwen3-Max lists tiered pricing: 0-32,001t is $1.20/1M input and $6/1M output; 0-128,001t is $2.40/1M input and $12/1M output; 128,001t+ is $3/1M input and $15/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 or Qwen3-Max open source?
Mistral Large 2 is listed under Mistral License. Qwen3-Max 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 or Qwen3-Max?
Both Mistral Large 2 and Qwen3-Max expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Mistral Large 2 or Qwen3-Max?
Both Mistral Large 2 and Qwen3-Max expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Mistral Large 2 and Qwen3-Max?
Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Qwen3-Max is available on OpenRouter, Vercel AI Gateway, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.