Mistral Large 2 vs Together AI Qwen2-72B-Instruct
Mistral Large 2 (2025) and Together AI Qwen2-72B-Instruct (2024) are compact production models from MistralAI and Alibaba. Mistral Large 2 ships a 128k-token context window, while Together AI Qwen2-72B-Instruct ships a 33k-token context window. On pricing, Mistral Large 2 costs $0.48/1M input tokens versus $0.70/1M 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.
Mistral Large 2 is ~46% cheaper at $0.48/1M; pay for Together AI Qwen2-72B-Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Mistral Large 2 | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and provider-routed production | general production evaluation |
| Decision fit | Coding, RAG, and Agents | Classification and JSON / Tool use |
| Context window | 128k | 33k |
| Cheapest output | $2.40/1M tokens | $0.70/1M tokens |
| Provider routes | 4 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Large 2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Large 2 for Coding, RAG, and Agents.
- Together AI Qwen2-72B-Instruct has the lower cheapest tracked output price at $0.70/1M tokens.
- Local decision data tags Together AI Qwen2-72B-Instruct 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
$984
Cheapest tracked route/tier: AWS Bedrock
Together AI Qwen2-72B-Instruct
$735
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $249. 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 Together AI Qwen2-72B-Instruct; plan for SDK, billing, or endpoint changes.
- Together AI Qwen2-72B-Instruct is $1.70/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
- No overlapping tracked provider route is sourced for Together AI Qwen2-72B-Instruct and Mistral Large 2; plan for SDK, billing, or endpoint changes.
- Mistral Large 2 is $1.70/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 2 adds Vision, Multimodal, and Function calling in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-11-25 | 2024-06-07 |
| Context window | 128k | 33k |
| Parameters | 123B | 72B |
| 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 | - |
Pricing and availability
| Pricing attribute | Mistral Large 2 | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Input price | $0.48/1M tokens | $0.70/1M tokens |
| Output price | $2.40/1M tokens | $0.70/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Large 2 | Together AI Qwen2-72B-Instruct |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | 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, multimodal input: Mistral Large 2, function calling: Mistral Large 2, and tool use: Mistral Large 2. 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 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider, while Together AI Qwen2-72B-Instruct lists $0.70/1M input and $0.70/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-72B-Instruct lower by about $0.36 per million blended tokens. Availability is 4 providers versus 1, so concentration risk also matters.
Choose Mistral Large 2 when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Together AI Qwen2-72B-Instruct 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.
FAQ
Which has a larger context window, Mistral Large 2 or Together AI Qwen2-72B-Instruct?
Mistral Large 2 supports 128k tokens, while Together AI Qwen2-72B-Instruct supports 33k 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 Together AI Qwen2-72B-Instruct?
Together AI Qwen2-72B-Instruct is cheaper on tracked token pricing. Mistral Large 2 costs $0.48/1M input and $2.40/1M output tokens. Together AI Qwen2-72B-Instruct costs $0.70/1M input and $0.70/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Large 2 or Together AI Qwen2-72B-Instruct open source?
Mistral Large 2 is listed under Mistral License. Together AI Qwen2-72B-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, Mistral Large 2 or Together AI Qwen2-72B-Instruct?
Mistral Large 2 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, Mistral Large 2 or Together AI Qwen2-72B-Instruct?
Mistral Large 2 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 Mistral Large 2 and Together AI Qwen2-72B-Instruct?
Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Together AI Qwen2-72B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.