GPT-4.1 mini vs Qwen3 Max vs Mistral Medium 3
GPT-4.1 mini comes out ahead, 60 to 53 and 50 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAI
GPT-4.1 mini
60/100- ECI135.0
- Price$0.40 / $1.60
- Context1.05M
Alibaba (Qwen)
Qwen3 Max
50/100- ECI142.4
- Price$1.20 / $6.00
- Context262K
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
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 Qwen3 Max (50). It leads on price, inputs & features and context window. Qwen3 Max wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 MaxCapabilities Index (ECI): Qwen3 Max 142.4 · GPT-4.1 mini 135.0 · Mistral Medium 3 134.1
- Lowest priceGPT-4.1 miniGPT-4.1 mini $0.70 · Mistral Medium 3 $0.80 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Qwen3 Max 262,144 · Mistral Medium 3 131,072 tokens
- Widest inputsGPT-4.1 miniGPT-4.1 mini: Text, Images, PDFs · Qwen3 Max: Text · Mistral Medium 3: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-4.1 mini | Qwen3 Max | Mistral Medium 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 59 | 68 | 58 |
| Price | 25% | 57 | 32 | 54 |
| Inputs & features | 15% | 70 | 25 | 50 |
| Context window | 10% | 61 | 37 | 24 |
| Overall | 100% | 60/100 | 50/100 | 53/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 135.0 | 142.4 (best) | 134.1 |
| ECI rank | #115 of 148 | #91 of 148 (best) | #117 of 148 |
| GPQA DiamondGraduate-level science questions | 65.9% | 72.6% (best) | 59.5% |
| FrontierMath Tiers 1–3Research-level mathematics | 6.7% | 19.0% (best) | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 44.7% | 73.3% (best) | 32.2% |
| SimpleQA VerifiedShort factual questions | 12.7% | 48.8% (best) | — |
| Price per million tokens | |||
| Input | $0.40 (best) | $1.20 | $0.40 (best) |
| Output | $1.60 (best) | $6.00 | $2.00 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $0.70 (best) | $2.40 | $0.80 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Alibaba API | Official Mistral API |
| Limits | |||
| Context window | 1,047,576 tokens (best) | 262,144 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-4.1-mini | qwen3-max | mistral-medium-2505 |
| API providers | 24 (best) | 16 | 5 |
| Released | Apr 14, 2025 | Sep 23, 2025 | May 7, 2025 |
| Knowledge cutoff | Apr 2024 | Apr 2025 | May 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
GPT-4.1 mini$7.20
Qwen3 Max$24.00
Mistral Medium 3$8.00
Which should you choose?
Which is better: GPT-4.1 mini, Qwen3 Max or Mistral Medium 3?
GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Qwen3 Max (50). It leads on price, inputs & features and context window. Qwen3 Max wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-4.1 mini, Qwen3 Max or Mistral Medium 3?
GPT-4.1 mini is cheaper at $0.40 input / $1.60 output per million tokens (official OpenAI API price). Mistral Medium 3 costs $0.40 input / $2.00 output per million tokens (official Mistral API price); Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba 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 $0.80 for Mistral Medium 3 (1.1× as much) and $2.40 for Qwen3 Max (3.4× as much).
Which scores higher on benchmarks?
Qwen3 Max scores higher on the Capabilities Index (ECI): Qwen3 Max 142.4 (#91 of 148), GPT-4.1 mini 135.0 (#115 of 148) and Mistral Medium 3 134.1 (#117 of 148). Their confidence ranges do not overlap (140.0–144.6 vs 131.2–136.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, GPT-4.1 mini 65.9%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Qwen3 Max 73.3%, GPT-4.1 mini 44.7%, Mistral Medium 3 32.2%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-4.1 mini, Qwen3 Max and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, Qwen3 Max 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 262,144 for Qwen3 Max and 131,072 for Mistral Medium 3. Maximum output per response: GPT-4.1 mini up to 32,768, Qwen3 Max up to 65,536, Mistral Medium 3 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
GPT-4.1 mini accepts text, images and PDFs; Qwen3 Max accepts text; Mistral Medium 3 accepts text and images. GPT-4.1 mini handles the widest range of inputs.
Are any of these open source?
No. GPT-4.1 mini, Qwen3 Max and Mistral Medium 3 are proprietary and only available through APIs and apps.
Which is newer?
Qwen3 Max is the newest, released Sep 23, 2025. Mistral Medium 3 came out May 7, 2025; GPT-4.1 mini came out Apr 14, 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, Qwen3 Max Apr 2025, Mistral Medium 3 May 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.