Magistral Small vs Mistral Medium 3 vs GPT-4.1 mini
GPT-4.1 mini comes out ahead, 60 to 53 and 50 on our weighted score, and it is the cheaper option too.
Mistral AI
Magistral Small
50/100- ECI133.2
- Price$0.50 / $1.50
- Context131K
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
- Our pick
OpenAI
GPT-4.1 mini
60/100- ECI135.0
- Price$0.40 / $1.60
- Context1.05M
GPT-4.1 mini is our pick
GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Magistral Small (50). It leads on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-4.1 miniCapabilities Index (ECI): GPT-4.1 mini 135.0 · Mistral Medium 3 134.1 · Magistral Small 133.2
- Lowest priceGPT-4.1 miniGPT-4.1 mini $0.70 · Magistral Small $0.75 · Mistral Medium 3 $0.80 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Magistral Small 131,072 · Mistral Medium 3 131,072 tokens
- Widest inputsGPT-4.1 miniMagistral Small: Text · Mistral Medium 3: Text, Images · GPT-4.1 mini: Text, Images, PDFs
- Self-hostingMagistral SmallPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Magistral Small | Mistral Medium 3 | GPT-4.1 mini |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 57 | 58 | 59 |
| Price | 25% | 56 | 54 | 57 |
| Inputs & features | 15% | 35 | 50 | 70 |
| Context window | 10% | 24 | 24 | 61 |
| Overall | 100% | 50/100 | 53/100 | 60/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 133.2 | 134.1 | 135.0 (best) |
| ECI rank | #120 of 148 | #117 of 148 | #115 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 56.1% | 59.5% | 65.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 6.7% |
| OTIS Mock AIME 2024–2025Competition mathematics | 30.0% | 32.2% | 44.7% (best) |
| SimpleQA VerifiedShort factual questions | — | — | 12.7% |
| Price per million tokens | |||
| Input | $0.50 | $0.40 (best) | $0.40 (best) |
| Output | $1.50 (best) | $2.00 | $1.60 |
| Cached input | — | — | $0.10 |
| Blended (3:1) | $0.75 | $0.80 | $0.70 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Mistral API | Official OpenAI API |
| Limits | |||
| Context window | 131,072 tokens | 131,072 tokens | 1,047,576 tokens (best) |
| Max output | 8,192 tokens | 131,072 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Proprietary | Proprietary |
| API model ID | — | mistral-medium-2505 | gpt-4.1-mini |
| API providers | 1 | 5 | 24 (best) |
| Released | Jun 10, 2025 | May 7, 2025 | Apr 14, 2025 |
| Knowledge cutoff | — | May 2025 | Apr 2024 |
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
Mistral Medium 3$8.00
GPT-4.1 mini$7.20
Which should you choose?
Which is better: Magistral Small, Mistral Medium 3 or GPT-4.1 mini?
GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Magistral Small (50). It leads on inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Magistral Small, Mistral Medium 3 or GPT-4.1 mini?
GPT-4.1 mini is cheaper at $0.40 input / $1.60 output per million tokens (official OpenAI API price). Magistral Small costs $0.50 input / $1.50 output per million tokens (median across 1 API provider); Mistral Medium 3 costs $0.40 input / $2.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.70 per million tokens for GPT-4.1 mini versus $0.75 for Magistral Small (1.1× as much) and $0.80 for Mistral Medium 3 (1.1× as much).
Which scores higher on benchmarks?
GPT-4.1 mini scores higher on the Capabilities Index (ECI): GPT-4.1 mini 135.0 (#115 of 148), Mistral Medium 3 134.1 (#117 of 148) and Magistral Small 133.2 (#120 of 148). The confidence ranges of the top two overlap (131.2–136.6 vs 130.5–135.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4.1 mini 65.9%, Mistral Medium 3 59.5%, Magistral Small 56.1%; OTIS Mock AIME 2024–2025 — GPT-4.1 mini 44.7%, Mistral Medium 3 32.2%, Magistral Small 30.0%.
Which is better for coding?
There are no published SWE-bench Verified results for Magistral Small, Mistral Medium 3 and GPT-4.1 mini yet, so there is no like-for-like coding score. On overall capability, GPT-4.1 mini leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-4.1 mini has the largest context window at 1,047,576 tokens, against 131,072 for Magistral Small and 131,072 for Mistral Medium 3. Maximum output per response: Magistral Small up to 8,192, Mistral Medium 3 up to 131,072, GPT-4.1 mini up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Magistral Small accepts text; Mistral Medium 3 accepts text and images; GPT-4.1 mini accepts text, images and PDFs. GPT-4.1 mini handles the widest range of inputs.
Are any of these open source?
Magistral Small publishes its weights (Apache 2.0) and can be self-hosted; Mistral Medium 3 and GPT-4.1 mini is proprietary.
Which is newer?
Magistral Small is the newest, released Jun 10, 2025. Mistral Medium 3 came out May 7, 2025; GPT-4.1 mini came out Apr 14, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, GPT-4.1 mini Apr 2024.
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.