Magistral Small vs Qwen3 30B A3B
Qwen3 30B A3B comes out ahead, 57 to 49 on our weighted score, and it is the cheaper option too.
Mistral AI
Magistral Small
49/100- ECI133.1
- Price$0.50 / $1.50
- Context131K
- Our pick
Alibaba (Qwen)
Qwen3 30B A3B
57/100- ECI136.2
- Price$0.108 / $0.475
- Context131K
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Qwen3 30B A3B is our pick
Qwen3 30B A3B is the better all-round choice, scoring 57/100 against Magistral Small (49). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 30B A3BCapabilities Index (ECI): Qwen3 30B A3B 136.2 · Magistral Small 133.1
- Lowest priceQwen3 30B A3BQwen3 30B A3B $0.20 · Magistral Small $0.75 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMagistral Small 131,072 · Qwen3 30B A3B 131,072 tokens
- Widest inputsSame inputsMagistral Small: Text · Qwen3 30B A3B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Magistral Small | Qwen3 30B A3B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 56 | 59 |
| Price | 25% | 53 | 80 |
| Inputs & features | 15% | 35 | 35 |
| Context window | 10% | 25 | 25 |
| Overall | 100% | 49/100 | 57/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 133.1 | 136.2 (best) |
| ECI rank | #134 of 165 | #126 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 56.1% | 61.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 30.0% | 62.8% (best) |
| Price per million tokens | ||
| Input | $0.50 | $0.108 (best) |
| Output | $1.50 | $0.475 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.75 | $0.20 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Median of 14 providers |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache 2.0 | Open |
| API model ID | — | — |
| API providers | 2 | 14 (best) |
| Released | Jun 10, 2025 | Apr 28, 2025 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Magistral Small$8.00
Qwen3 30B A3B$2.03
Which should you choose?
Which is better: Magistral Small or Qwen3 30B A3B?
Qwen3 30B A3B is the better all-round choice, scoring 57/100 against Magistral Small (49). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Magistral Small or Qwen3 30B A3B?
Qwen3 30B A3B is cheaper at $0.108 input / $0.475 output per million tokens (median across 14 API providers). Magistral Small costs $0.50 input / $1.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for Qwen3 30B A3B versus $0.75 for Magistral Small (3.8× as much).
Which scores higher on benchmarks?
Qwen3 30B A3B scores higher on the Capabilities Index (ECI): Qwen3 30B A3B 136.2 (#126 of 165) and Magistral Small 133.1 (#134 of 165). The confidence ranges of the top two overlap (130.8–138.5 vs 129.4–134.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 30B A3B 61.7%, Magistral Small 56.1%; OTIS Mock AIME 2024–2025 — Qwen3 30B A3B 62.8%, Magistral Small 30.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Magistral Small and Qwen3 30B A3B yet, so there is no like-for-like coding score. On overall capability, Qwen3 30B A3B leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Magistral Small and Qwen3 30B A3B share the same 131,072-token context window. Maximum output per response: Magistral Small up to 8,192, Qwen3 30B A3B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Magistral Small accepts text; Qwen3 30B A3B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache 2.0), so you can self-host them.
Which is newer?
Magistral Small is the newest, released Jun 10, 2025. Qwen3 30B A3B came out Apr 28, 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 Nov 2, 2026.