GPT-4.1 mini vs Mistral Medium 3 vs Qwen3 235B-A22B
GPT-4.1 mini comes out ahead, 60 to 53 and 51 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
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
Alibaba (Qwen)
Qwen3 235B-A22B
51/100- ECI139.4
- Price$0.70 / $2.80
- 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 235B-A22B (51). It leads on price, inputs & features and context window. Qwen3 235B-A22B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 235B-A22BCapabilities Index (ECI): Qwen3 235B-A22B 139.4 · 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 235B-A22B $1.23 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Mistral Medium 3 131,072 · Qwen3 235B-A22B 131,072 tokens
- Widest inputsGPT-4.1 miniGPT-4.1 mini: Text, Images, PDFs · Mistral Medium 3: Text, Images · Qwen3 235B-A22B: Text
- Self-hostingQwen3 235B-A22BPublishes downloadable weights
| Measure | Weight | GPT-4.1 mini | Mistral Medium 3 | Qwen3 235B-A22B |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 59 | 58 | 65 |
| Price | 25% | 57 | 54 | 46 |
| Inputs & features | 15% | 70 | 50 | 35 |
| Context window | 10% | 61 | 24 | 24 |
| Overall | 100% | 60/100 | 53/100 | 51/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 135.0 | 134.1 | 139.4 (best) |
| ECI rank | #115 of 148 | #117 of 148 | #103 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 65.9% | 59.5% | 70.7% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 6.7% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 44.7% (best) | 32.2% | — |
| SimpleQA VerifiedShort factual questions | 12.7% | — | — |
| Price per million tokens | |||
| Input | $0.40 (best) | $0.40 (best) | $0.70 |
| Output | $1.60 (best) | $2.00 | $2.80 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $0.70 (best) | $0.80 | $1.23 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Mistral API | Official Alibaba API |
| Limits | |||
| Context window | 1,047,576 tokens (best) | 131,072 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gpt-4.1-mini | mistral-medium-2505 | qwen3-235b-a22b |
| API providers | 24 (best) | 5 | 7 |
| Released | Apr 14, 2025 | May 7, 2025 | Apr 28, 2025 |
| Knowledge cutoff | Apr 2024 | May 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.
GPT-4.1 mini$7.20
Mistral Medium 3$8.00
Qwen3 235B-A22B$12.60
Which should you choose?
Which is better: GPT-4.1 mini, Mistral Medium 3 or Qwen3 235B-A22B?
GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Qwen3 235B-A22B (51). It leads on price, inputs & features and context window. Qwen3 235B-A22B wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-4.1 mini, Mistral Medium 3 or Qwen3 235B-A22B?
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 235B-A22B costs $0.70 input / $2.80 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 $1.23 for Qwen3 235B-A22B (1.8× as much).
Which scores higher on benchmarks?
Qwen3 235B-A22B scores higher on the Capabilities Index (ECI): Qwen3 235B-A22B 139.4 (#103 of 148), GPT-4.1 mini 135.0 (#115 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (135.2–140.8 vs 131.2–136.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 235B-A22B 70.7%, GPT-4.1 mini 65.9%, Mistral Medium 3 59.5%.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-4.1 mini, Mistral Medium 3 and Qwen3 235B-A22B yet, so there is no like-for-like coding score. On overall capability, Qwen3 235B-A22B 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 Mistral Medium 3 and 131,072 for Qwen3 235B-A22B. Maximum output per response: GPT-4.1 mini up to 32,768, Mistral Medium 3 up to 131,072, Qwen3 235B-A22B up to 16,384 tokens.
Which can read images, PDFs, audio or video?
GPT-4.1 mini accepts text, images and PDFs; Mistral Medium 3 accepts text and images; Qwen3 235B-A22B accepts text. GPT-4.1 mini handles the widest range of inputs.
Are any of these open source?
Qwen3 235B-A22B publishes its weights and can be self-hosted; GPT-4.1 mini and Mistral Medium 3 is proprietary.
Which is newer?
Mistral Medium 3 is the newest, released May 7, 2025. Qwen3 235B-A22B came out Apr 28, 2025; GPT-4.1 mini came out Apr 14, 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, Mistral Medium 3 May 2025, Qwen3 235B-A22B 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.