Mistral Small 3 vs Together AI Qwen2-7B-Instruct
Mistral Small 3 (2025) and Together AI Qwen2-7B-Instruct (2024) are compact production models from MistralAI and Alibaba. Mistral Small 3 ships a 33k-token context window, while Together AI Qwen2-7B-Instruct ships a 33k-token context window. On pricing, Mistral Small 3 costs $0.10/1M input tokens versus $0.15/1M 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 Small 3 is ~50% cheaper at $0.10/1M; pay for Together AI Qwen2-7B-Instruct only for provider fit.
Decision scorecard
Local evidence first| Signal | Mistral Small 3 | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | general production evaluation |
| Decision fit | Agents, Classification, and JSON / Tool use | Classification and JSON / Tool use |
| Context window | 33k | 33k |
| Cheapest output | $0.30/1M tokens | $0.15/1M tokens |
| Provider routes | 2 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral Small 3 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small 3 uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Mistral Small 3 for Agents, Classification, and JSON / Tool use.
- Together AI Qwen2-7B-Instruct has the lower cheapest tracked output price at $0.15/1M tokens.
- Local decision data tags Together AI Qwen2-7B-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 Small 3
$155
Cheapest tracked route/tier: Together AI
Together AI Qwen2-7B-Instruct
$158
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $2.50. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Together AI Qwen2-7B-Instruct is $0.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Mistral Small 3 is $0.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Small 3 adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2024-06-07 |
| Context window | 33k | 33k |
| Parameters | 24B | 7B |
| Architecture | decoder only | decoder only |
| License | Apache 2.0(OSI) | Apache 2.0(OSI) |
| Openness | Open source | Open source |
| Commercial use | Commercial use allowed | Commercial use allowed |
| Knowledge cutoff | 2023-10 | - |
Pricing and availability
| Pricing attribute | Mistral Small 3 | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Input price | $0.10/1M tokens | $0.15/1M tokens |
| Output price | $0.30/1M tokens | $0.15/1M tokens |
| Providers |
Capabilities
| Capability | Mistral Small 3 | Together AI Qwen2-7B-Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | 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 function calling: Mistral Small 3 and tool use: Mistral Small 3. 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 Small 3 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while Together AI Qwen2-7B-Instruct lists $0.15/1M input and $0.15/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI Qwen2-7B-Instruct lower by about $0.01 per million blended tokens. Availability is 2 providers versus 1, so concentration risk also matters.
Choose Mistral Small 3 when provider fit, lower input-token cost, and broader provider choice are central to the workload. Choose Together AI Qwen2-7B-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. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Mistral Small 3 or Together AI Qwen2-7B-Instruct?
Mistral Small 3 supports 33k tokens, while Together AI Qwen2-7B-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 Small 3 or Together AI Qwen2-7B-Instruct?
Together AI Qwen2-7B-Instruct is cheaper on tracked token pricing. Mistral Small 3 costs $0.10/1M input and $0.30/1M output tokens. Together AI Qwen2-7B-Instruct costs $0.15/1M input and $0.15/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral Small 3 or Together AI Qwen2-7B-Instruct open source?
Mistral Small 3 is listed under Apache 2.0. Together AI Qwen2-7B-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 function calling, Mistral Small 3 or Together AI Qwen2-7B-Instruct?
Mistral Small 3 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 Small 3 or Together AI Qwen2-7B-Instruct?
Mistral Small 3 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 Small 3 and Together AI Qwen2-7B-Instruct?
Mistral Small 3 is available on Together AI and Vercel AI Gateway. Together AI Qwen2-7B-Instruct is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.