Mistral Large 2 (2407) vs Qwen3-Next-80B-A3B
Mistral Large 2 (2407) (2024) and Qwen3-Next-80B-A3B (2025) are compact production models from MistralAI and Alibaba. Mistral Large 2 (2407) ships a 128k-token context window, while Qwen3-Next-80B-A3B ships a not-yet-sourced context window. On pricing, Qwen3-Next-80B-A3B costs $0.10/1M input tokens versus $0.50/1M 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-Next-80B-A3B is ~413% cheaper at $0.10/1M; pay for Mistral Large 2 (2407) only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 (2407) | Qwen3-Next-80B-A3B |
|---|---|---|
| Best for | multimodal apps and provider-routed production | provider-routed production |
| Decision fit | RAG, Long context, and Vision | Classification and JSON / Tool use |
| Context window | 128k | — |
| Cheapest output | $1.50/1M tokens | $0.78/1M tokens |
| Provider routes | 3 tracked | 4 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Large 2 (2407) has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 (2407) uniquely exposes Vision in local model data.
- Local decision data tags Mistral Large 2 (2407) for RAG, Long context, and Vision.
- Qwen3-Next-80B-A3B has the lower cheapest tracked output price at $0.78/1M tokens.
- Qwen3-Next-80B-A3B has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Qwen3-Next-80B-A3B for Classification and JSON / Tool use.
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-Next-80B-A3B
$273
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $502. 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 (2407) and Qwen3-Next-80B-A3B; plan for SDK, billing, or endpoint changes.
- Qwen3-Next-80B-A3B is $0.72/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision before moving production traffic.
- No overlapping tracked provider route is sourced for Qwen3-Next-80B-A3B and Mistral Large 2 (2407); plan for SDK, billing, or endpoint changes.
- Mistral Large 2 (2407) is $0.72/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 2 (2407) adds Vision in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-07-23 | 2025-12-01 |
| Context window | 128k | — |
| Parameters | 123B | 80B (3B active) |
| 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 | - |
Pricing and availability
| Pricing attribute | Mistral Large 2 (2407) | Qwen3-Next-80B-A3B |
|---|---|---|
| Input price | $0.50/1M tokens | $0.10/1M tokens |
| Output price | $1.50/1M tokens | $0.78/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large 2 (2407) | Qwen3-Next-80B-A3B |
|---|---|---|
| Vision | Yes | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| 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 differs most on vision: Mistral Large 2 (2407). Both models share structured outputs, 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, Mistral Large 2 (2407) lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider, while Qwen3-Next-80B-A3B lists $0.10/1M input and $0.78/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Qwen3-Next-80B-A3B lower by about $0.50 per million blended tokens. Availability is 3 providers versus 4, so concentration risk also matters.
Choose Mistral Large 2 (2407) when vision-heavy evaluation are central to the workload. Choose Qwen3-Next-80B-A3B when provider fit, lower input-token cost, 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. 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which is cheaper, Mistral Large 2 (2407) or Qwen3-Next-80B-A3B?
Qwen3-Next-80B-A3B is cheaper on tracked token pricing. Mistral Large 2 (2407) costs $0.50/1M input and $1.50/1M output tokens. Qwen3-Next-80B-A3B costs $0.10/1M input and $0.78/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 (2407) or Qwen3-Next-80B-A3B open source?
Mistral Large 2 (2407) is listed under Mistral License. Qwen3-Next-80B-A3B 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-Next-80B-A3B?
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 structured outputs, Mistral Large 2 (2407) or Qwen3-Next-80B-A3B?
Both Mistral Large 2 (2407) and Qwen3-Next-80B-A3B expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Mistral Large 2 (2407) and Qwen3-Next-80B-A3B?
Mistral Large 2 (2407) is available on Microsoft Foundry, Chutes AI, and SiliconFlow. Qwen3-Next-80B-A3B is available on AWS Bedrock, OpenRouter, Venice AI, and Novita AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral Large 2 (2407) over Qwen3-Next-80B-A3B?
Qwen3-Next-80B-A3B is ~413% cheaper at $0.10/1M; pay for Mistral Large 2 (2407) only for vision-heavy evaluation. If your workload also depends on vision-heavy evaluation, start with Mistral Large 2 (2407); if it depends on provider fit, run the same evaluation with Qwen3-Next-80B-A3B.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.