Devstral 2 vs Qwen3.5 27B
Qwen3.5 27B comes out ahead, 61 to 42 on our weighted score.
Mistral AIDevstral 2
42/100- ECI—
- Price$0.40 / $2.00
- Context262K
- Our pick
Alibaba (Qwen)Qwen3.5 27B
61/100- ECI—
- Price$0.30 / $2.40
- Context262K
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Make it a three-way comparison.
Qwen3.5 27B is our pick
Qwen3.5 27B is the better all-round choice, scoring 61/100 against Devstral 2 (42). It leads on inputs & features. 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 2Devstral 2 $0.80 · Qwen3.5 27B $0.825 per 1M tokens (3:1 blend)
- Longest contextAbout the sameDevstral 2 262,144 · Qwen3.5 27B 262,144 tokens
- Widest inputsQwen3.5 27BDevstral 2: Text · Qwen3.5 27B: Text, Images, Audio, Video
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Devstral 2 | Qwen3.5 27B |
|---|---|---|---|
| Price | 50% | 54 | 54 |
| Inputs & features | 30% | 25 | 90 |
| Context window | 20% | 37 | 37 |
| Overall | 100% | 42/100 | 61/100 |
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 2Mistral AI | Qwen3.5 27BAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.40 | $0.30 (best) |
| Output | $2.00 (best) | $2.40 |
| Cached input | — | — |
| Blended (3:1) | $0.80 (best) | $0.825 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | devstral-2512 | qwen3.5-27b |
| API providers | 14 | 16 (best) |
| Released | Dec 9, 2025 | Feb 23, 2026 |
| Knowledge cutoff | Dec 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 2$8.00
- Qwen3.5 27B$7.80
Which should you choose?
Which is better: Devstral 2 or Qwen3.5 27B?
Qwen3.5 27B is the better all-round choice, scoring 61/100 against Devstral 2 (42). It leads on inputs & features. 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 2 or Qwen3.5 27B?
Devstral 2 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). Qwen3.5 27B costs $0.30 input / $2.40 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 2 versus $0.825 for Qwen3.5 27B (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Devstral 2 has not been scored yet and Qwen3.5 27B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Devstral 2 and Qwen3.5 27B 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?
Devstral 2 and Qwen3.5 27B share the same 262,144-token context window. Maximum output per response: Devstral 2 up to 262,144, Qwen3.5 27B up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Devstral 2 accepts text; Qwen3.5 27B accepts text, images, audio and video. Qwen3.5 27B handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Qwen3.5 27B is the newest, released Feb 23, 2026. Devstral 2 came out Dec 9, 2025. Knowledge cutoff: Devstral 2 Dec 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.
