GPT-4.1 mini vs Qwen3.5 Plus vs Mistral Medium 3
Qwen3.5 Plus comes out ahead, 66 to 60 and 53 on our weighted score, though GPT-4.1 mini is 22% cheaper per token.
OpenAI
GPT-4.1 mini
60/100- ECI135.0
- Price$0.40 / $1.60
- Context1.05M
- Our pick
Alibaba (Qwen)
Qwen3.5 Plus
66/100- ECI146.8
- Price$0.40 / $2.40
- Context1M
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
Qwen3.5 Plus is our pick
Qwen3.5 Plus is the better all-round choice, scoring 66/100 against GPT-4.1 mini (60) and Mistral Medium 3 (53). It leads on capability. GPT-4.1 mini wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3.5 PlusCapabilities Index (ECI): Qwen3.5 Plus 146.8 · 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 · Qwen3.5 Plus $0.90 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Qwen3.5 Plus 1,000,000 · Mistral Medium 3 131,072 tokens
- Widest inputsGPT-4.1 mini and Qwen3.5 PlusGPT-4.1 mini: Text, Images, PDFs · Qwen3.5 Plus: Text, Images, Video · Mistral Medium 3: Text, Images
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-4.1 mini | Qwen3.5 Plus | Mistral Medium 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 59 | 74 | 58 |
| Price | 25% | 57 | 52 | 54 |
| Inputs & features | 15% | 70 | 70 | 50 |
| Context window | 10% | 61 | 60 | 24 |
| Overall | 100% | 60/100 | 66/100 | 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 | 146.8 (best) | 134.1 |
| ECI rank | #115 of 148 | #65 of 148 (best) | #117 of 148 |
| GPQA DiamondGraduate-level science questions | 65.9% | 84.9% (best) | 59.5% |
| FrontierMath Tiers 1–3Research-level mathematics | 6.7% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 44.7% | 86.7% (best) | 32.2% |
| SimpleQA VerifiedShort factual questions | 12.7% | 25.4% (best) | — |
| Price per million tokens | |||
| Input | $0.40 | $0.40 | $0.40 |
| Output | $1.60 (best) | $2.40 | $2.00 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $0.70 (best) | $0.90 | $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) | 1,000,000 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 | Yes | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-4.1-mini | qwen3.5-plus | mistral-medium-2505 |
| API providers | 24 (best) | 10 | 5 |
| Released | Apr 14, 2025 | Feb 16, 2026 | 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
Qwen3.5 Plus$8.80
Mistral Medium 3$8.00
Which should you choose?
Which is better: GPT-4.1 mini, Qwen3.5 Plus or Mistral Medium 3?
Qwen3.5 Plus is the better all-round choice, scoring 66/100 against GPT-4.1 mini (60) and Mistral Medium 3 (53). It leads on capability. GPT-4.1 mini wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-4.1 mini, Qwen3.5 Plus 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); Qwen3.5 Plus costs $0.40 input / $2.40 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 $0.90 for Qwen3.5 Plus (1.3× as much).
Which scores higher on benchmarks?
Qwen3.5 Plus scores higher on the Capabilities Index (ECI): Qwen3.5 Plus 146.8 (#65 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 (144.6–148.1 vs 131.2–136.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3.5 Plus 84.9%, GPT-4.1 mini 65.9%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Qwen3.5 Plus 86.7%, 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, Qwen3.5 Plus and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, Qwen3.5 Plus 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 1,000,000 for Qwen3.5 Plus and 131,072 for Mistral Medium 3. Maximum output per response: GPT-4.1 mini up to 32,768, Qwen3.5 Plus 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; Qwen3.5 Plus accepts text, images and video; 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, Qwen3.5 Plus and Mistral Medium 3 are proprietary and only available through APIs and apps.
Which is newer?
Qwen3.5 Plus is the newest, released Feb 16, 2026. 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, Qwen3.5 Plus 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.