GPT-4.1 mini vs Mistral Medium 3 vs Claude Opus 4
GPT-4.1 mini comes out ahead, 60 to 53 and 48 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
Anthropic
Claude Opus 4
48/100- ECI142.7
- Price$15.00 / $75.00
- Context200K
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 Claude Opus 4 (48). It leads on price and context window. Claude Opus 4 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityClaude Opus 4Capabilities Index (ECI): Claude Opus 4 142.7 · 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 · Claude Opus 4 $30.00 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · Claude Opus 4 200,000 · Mistral Medium 3 131,072 tokens
- Widest inputsGPT-4.1 mini and Claude Opus 4GPT-4.1 mini: Text, Images, PDFs · Mistral Medium 3: Text, Images · Claude Opus 4: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-4.1 mini | Mistral Medium 3 | Claude Opus 4 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 59 | 58 | 69 |
| Price | 25% | 57 | 54 | 0 |
| Inputs & features | 15% | 70 | 50 | 70 |
| Context window | 10% | 61 | 24 | 32 |
| Overall | 100% | 60/100 | 53/100 | 48/100 |
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 | 142.7 (best) |
| ECI rank | #115 of 148 | #117 of 148 | #87 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 65.9% | 59.5% | 76.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 6.7% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 44.7% | 32.2% | 64.4% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 70.7% |
| SimpleQA VerifiedShort factual questions | 12.7% | — | — |
| Price per million tokens | |||
| Input | $0.40 (best) | $0.40 (best) | $15.00 |
| Output | $1.60 (best) | $2.00 | $75.00 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $0.70 (best) | $0.80 | $30.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official Mistral API | Median of 5 providers |
| Limits | |||
| Context window | 1,047,576 tokens (best) | 131,072 tokens | 200,000 tokens |
| Max output | 32,768 tokens | 131,072 tokens (best) | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| 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 | Proprietary |
| API model ID | gpt-4.1-mini | mistral-medium-2505 | — |
| API providers | 24 (best) | 5 | 5 |
| Released | Apr 14, 2025 | May 7, 2025 | May 22, 2025 |
| Knowledge cutoff | Apr 2024 | May 2025 | Mar 31, 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
Claude Opus 4$300.00
Which should you choose?
Which is better: GPT-4.1 mini, Mistral Medium 3 or Claude Opus 4?
GPT-4.1 mini is the better all-round choice, scoring 60/100 against Mistral Medium 3 (53) and Claude Opus 4 (48). It leads on price and context window. Claude Opus 4 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 Claude Opus 4?
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); Claude Opus 4 costs $15.00 input / $75.00 output per million tokens (median across 5 API providers). 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 $30.00 for Claude Opus 4 (43× as much).
Which scores higher on benchmarks?
Claude Opus 4 scores higher on the Capabilities Index (ECI): Claude Opus 4 142.7 (#87 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 (140.2–144.2 vs 131.2–136.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Opus 4 76.3%, GPT-4.1 mini 65.9%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Claude Opus 4 64.4%, 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 and Mistral Medium 3 yet, so there is no like-for-like coding score. On overall capability, Claude Opus 4 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 200,000 for Claude Opus 4 and 131,072 for Mistral Medium 3. Maximum output per response: GPT-4.1 mini up to 32,768, Mistral Medium 3 up to 131,072, Claude Opus 4 up to 32,000 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; Claude Opus 4 accepts text, images and PDFs. GPT-4.1 mini handles the widest range of inputs.
Are any of these open source?
No. GPT-4.1 mini, Mistral Medium 3 and Claude Opus 4 are proprietary and only available through APIs and apps.
Which is newer?
Claude Opus 4 is the newest, released May 22, 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, Mistral Medium 3 May 2025, Claude Opus 4 Mar 31, 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.