Mistral Large 2 vs Qwen3.5-122B-A10B
Mistral Large 2 (2025) and Qwen3.5-122B-A10B (2026) are frontier reasoning models from MistralAI and Alibaba. Mistral Large 2 ships a 128k-token context window, while Qwen3.5-122B-A10B ships a 262k-token context window. On MMLU PRO, Qwen3.5-122B-A10B leads by 17 pts. On pricing, Qwen3.5-122B-A10B costs $0.26/1M input tokens versus $0.48/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Qwen3.5-122B-A10B is ~85% cheaper at $0.26/1M; pay for Mistral Large 2 only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 | Qwen3.5-122B-A10B |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 128k | 262k |
| Cheapest output | $2.40/1M tokens | $2.08/1M tokens |
| Provider routes | 3 tracked | 3 tracked |
| Shared benchmarks | 1 shared | MMLU PRO leader |
Decision tradeoffs
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
- Qwen3.5-122B-A10B holds a shared-benchmark lead on MMLU PRO, ahead by 17 points.
- Qwen3.5-122B-A10B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Qwen3.5-122B-A10B has the lower cheapest tracked output price at $2.08/1M tokens.
- Qwen3.5-122B-A10B uniquely exposes Reasoning in local model data.
- Local decision data tags Qwen3.5-122B-A10B 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
Qwen3.5-122B-A10B
$728
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $256. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Mistral Large 2 and Qwen3.5-122B-A10B; plan for SDK, billing, or endpoint changes.
- Qwen3.5-122B-A10B is $0.32/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Qwen3.5-122B-A10B adds Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Qwen3.5-122B-A10B and Mistral Large 2; plan for SDK, billing, or endpoint changes.
- Mistral Large 2 is $0.32/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-25 | 2026-02-24 |
| Context window | 128k | 262k |
| Parameters | 123B | 122B |
| Architecture | Decoder Only | Mixture of Experts |
| License | Mistral License | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Available |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: non-commercial | Commercial use: permitted |
| Knowledge cutoff | 2025-07 | - |
Pricing and availability
| Pricing attribute | Mistral Large 2 | Qwen3.5-122B-A10B |
|---|---|---|
| Input price | $0.48/1M tokens | $0.26/1M tokens |
| Output price | $2.40/1M tokens | $2.08/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large 2 | Qwen3.5-122B-A10B |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| JSON / 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
| Benchmark | Mistral Large 2 | Qwen3.5-122B-A10B |
|---|---|---|
| MMLU PRO | 69.7 | 86.7 |
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.