Devstral Medium vs Qwen3-Next 80B-A3B Instruct
Too close to call on our weighted score (Devstral Medium 39, Qwen3-Next 80B-A3B Instruct 39). The right pick depends on what you value most.
Mistral AIDevstral Medium
39/100- ECI—
- Price$0.40 / $2.00
- Context128K
Alibaba (Qwen)Qwen3-Next 80B-A3B Instruct
39/100- ECI—
- Price$0.50 / $2.00
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Devstral Medium 39/100, Qwen3-Next 80B-A3B Instruct 39/100), so choose by what matters most for your work: Devstral Medium on price and Qwen3-Next 80B-A3B Instruct for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceDevstral MediumDevstral Medium $0.80 · Qwen3-Next 80B-A3B Instruct $0.875 per 1M tokens (3:1 blend)
- Longest contextQwen3-Next 80B-A3B InstructQwen3-Next 80B-A3B Instruct 131,072 · Devstral Medium 128,000 tokens
- Widest inputsSame inputsDevstral Medium: Text · Qwen3-Next 80B-A3B Instruct: Text
- Self-hostingQwen3-Next 80B-A3B InstructPublishes downloadable weights
| Measure | Weight | Devstral Medium | Qwen3-Next 80B-A3B Instruct |
|---|---|---|---|
| Price | 50% | 54 | 53 |
| Inputs & features | 30% | 25 | 25 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 39/100 | 39/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Devstral MediumMistral AI | Qwen3-Next 80B-A3B InstructAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.40 (best) | $0.50 |
| Output | $2.00 | $2.00 |
| Cached input | — | — |
| Blended (3:1) | $0.80 (best) | $0.875 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API |
| Limits | ||
| Context window | 128,000 tokens | 131,072 tokens (best) |
| Max output | 128,000 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | devstral-medium-2507 | qwen3-next-80b-a3b-instruct |
| API providers | 2 | 13 (best) |
| Released | Jul 10, 2025 | Sep 2025 |
| Knowledge cutoff | May 2025 | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Devstral Medium$8.00
- Qwen3-Next 80B-A3B Instruct$9.00
Which should you choose?
Which is better: Devstral Medium or Qwen3-Next 80B-A3B Instruct?
It is close. Our weighted score puts them within a point (Devstral Medium 39/100, Qwen3-Next 80B-A3B Instruct 39/100), so choose by what matters most for your work: Devstral Medium on price and Qwen3-Next 80B-A3B Instruct for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Devstral Medium or Qwen3-Next 80B-A3B Instruct?
Devstral Medium is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Qwen3-Next 80B-A3B Instruct costs $0.50 input / $2.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Devstral Medium versus $0.875 for Qwen3-Next 80B-A3B Instruct (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Devstral Medium has not been scored yet and Qwen3-Next 80B-A3B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Devstral Medium and Qwen3-Next 80B-A3B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3-Next 80B-A3B Instruct has the largest context window at 131,072 tokens, against 128,000 for Devstral Medium. Maximum output per response: Devstral Medium up to 128,000, Qwen3-Next 80B-A3B Instruct up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Devstral Medium accepts text; Qwen3-Next 80B-A3B Instruct accepts text. They handle the same number of input types.
Are any of these open source?
Qwen3-Next 80B-A3B Instruct publishes its weights and can be self-hosted; Devstral Medium is proprietary.
Which is newer?
Qwen3-Next 80B-A3B Instruct is the newest, released Sep 2025. Devstral Medium came out Jul 10, 2025. Knowledge cutoff: Devstral Medium May 2025, Qwen3-Next 80B-A3B Instruct Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
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