Magistral Medium vs Aya Vision 32B vs Qwen3-Coder 480B-A35B Instruct
Too close to call on our weighted score (Magistral Medium 31, Qwen3-Coder 480B-A35B Instruct 30, Aya Vision 32B 15). The right pick depends on what you value most.
Mistral AIMagistral Medium
31/100- ECI—
- Price$2.00 / $5.00
- Context128K
CohereAya Vision 32B
15/100- ECI—
- Price—
- Context16K
Alibaba (Qwen)Qwen3-Coder 480B-A35B Instruct
30/100- ECI—
- Price$1.50 / $7.50
- Context262K
Too close to call
It is close. Our weighted score puts them within a point (Magistral Medium 31/100, Qwen3-Coder 480B-A35B Instruct 30/100, Aya Vision 32B 15/100), so choose by what matters most for your work: Magistral Medium on price and Qwen3-Coder 480B-A35B Instruct for long inputs. The score weighs inputs & features 60%, context window 40%. 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 priceMagistral MediumMagistral Medium $2.75 · Qwen3-Coder 480B-A35B Instruct $3.00 per 1M tokens (3:1 blend) · Aya Vision 32B unpriced
- Longest contextQwen3-Coder 480B-A35B InstructQwen3-Coder 480B-A35B Instruct 262,144 · Magistral Medium 128,000 · Aya Vision 32B 16,000 tokens
- Widest inputsAya Vision 32BMagistral Medium: Text · Aya Vision 32B: Text, Images · Qwen3-Coder 480B-A35B Instruct: Text
- Self-hostingAya Vision 32B and Qwen3-Coder 480B-A35B InstructPublishes downloadable weights (CC-BY-NC-4.0)
| Measure | Weight | Magistral Medium | Aya Vision 32B | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 25 | 25 |
| Context window | 40% | 24 | 0 | 37 |
| Overall | 100% | 31/100 | 15/100 | 30/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Magistral MediumMistral AI | Aya Vision 32BCohere | Qwen3-Coder 480B-A35B InstructAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.00 | — | $1.50 (best) |
| Output | $5.00 (best) | — | $7.50 |
| Cached input | — | — | — |
| Blended (3:1) | $2.75 (best) | — | $3.00 |
| Long-context rate | Same rate | — | Over 32K: $2.70 / $13.50 |
| Price source | Official Mistral API | — | Official Alibaba API |
| Limits | |||
| Context window | 128,000 tokens | 16,000 tokens | 262,144 tokens (best) |
| Max output | 16,384 tokens | 4,000 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | OpenCC-BY-NC-4.0 | Open |
| API model ID | magistral-medium-latest | c4ai-aya-vision-32b | qwen3-coder-480b-a35b-instruct |
| API providers | 4 | 1 | 7 (best) |
| Released | Mar 17, 2025 | Mar 4, 2025 | Apr 2025 |
| Knowledge cutoff | Jun 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.
- Magistral Medium$30.00
- Aya Vision 32B—
- Qwen3-Coder 480B-A35B Instruct$30.00
Which should you choose?
Which is better: Magistral Medium, Aya Vision 32B or Qwen3-Coder 480B-A35B Instruct?
It is close. Our weighted score puts them within a point (Magistral Medium 31/100, Qwen3-Coder 480B-A35B Instruct 30/100, Aya Vision 32B 15/100), so choose by what matters most for your work: Magistral Medium on price and Qwen3-Coder 480B-A35B Instruct for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Magistral Medium, Aya Vision 32B or Qwen3-Coder 480B-A35B Instruct?
Magistral Medium is cheaper at $2.00 input / $5.00 output per million tokens (official Mistral API price). Qwen3-Coder 480B-A35B Instruct costs $1.50 input / $7.50 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $2.75 per million tokens for Magistral Medium versus $3.00 for Qwen3-Coder 480B-A35B Instruct (1.1× as much). Aya Vision 32B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Magistral Medium has not been scored yet, Aya Vision 32B has not been scored yet and Qwen3-Coder 480B-A35B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Magistral Medium, Aya Vision 32B and Qwen3-Coder 480B-A35B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Vision 32B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct has the largest context window at 262,144 tokens, against 128,000 for Magistral Medium and 16,000 for Aya Vision 32B. Maximum output per response: Magistral Medium up to 16,384, Aya Vision 32B up to 4,000, Qwen3-Coder 480B-A35B Instruct up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Magistral Medium accepts text; Aya Vision 32B accepts text and images; Qwen3-Coder 480B-A35B Instruct accepts text. Aya Vision 32B handles the widest range of inputs.
Are any of these open source?
Aya Vision 32B and Qwen3-Coder 480B-A35B Instruct publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Magistral Medium is proprietary.
Which is newer?
Qwen3-Coder 480B-A35B Instruct is the newest, released Apr 2025. Magistral Medium came out Mar 17, 2025; Aya Vision 32B came out Mar 4, 2025. Knowledge cutoff: Magistral Medium Jun 2025, Qwen3-Coder 480B-A35B 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.
