GPT-4.1 mini vs o3-pro vs Claude Opus 4.1
GPT-4.1 mini comes out ahead, 60 to 51 and 49 on our weighted score, and it is the cheaper option too.
- Our pick
OpenAIGPT-4.1 mini
60/100- ECI135.0
- Price$0.40 / $1.60
- Context1.05M
- OpenAI
o3-pro
51/100- ECI147.4
- Price$20.00 / $80.00
- Context200K
AnthropicClaude Opus 4.1
49/100- ECI144.1
- 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 o3-pro (51) and Claude Opus 4.1 (49). It leads on price and context window. o3-pro wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- Capabilityo3-proCapabilities Index (ECI): o3-pro 147.4 · Claude Opus 4.1 144.1 · GPT-4.1 mini 135.0
- Lowest priceGPT-4.1 miniGPT-4.1 mini $0.70 · Claude Opus 4.1 $30.00 · o3-pro $35.00 per 1M tokens (3:1 blend)
- Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · o3-pro 200,000 · Claude Opus 4.1 200,000 tokens
- Widest inputsGPT-4.1 mini and Claude Opus 4.1GPT-4.1 mini: Text, Images, PDFs · o3-pro: Text, Images · Claude Opus 4.1: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | GPT-4.1 mini | o3-pro | Claude Opus 4.1 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 59 | 75 | 71 |
| Price | 25% | 57 | 0 | 0 |
| Inputs & features | 15% | 70 | 70 | 70 |
| Context window | 10% | 61 | 32 | 32 |
| Overall | 100% | 60/100 | 51/100 | 49/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GPT-4.1 miniOpenAI | o3-proOpenAI | Claude Opus 4.1Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 135.0 | 147.4 (best) | 144.1 |
| ECI rank | #115 of 148 | #60 of 148 (best) | #81 of 148 |
| GPQA DiamondGraduate-level science questions | 65.9% | — | 77.3% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 6.7% | — | 12.6% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 44.7% | — | 68.9% (best) |
| SWE-bench VerifiedFixing real GitHub issues | — | — | 73.4% |
| SimpleQA VerifiedShort factual questions | 12.7% | — | — |
| Price per million tokens | |||
| Input | $0.40 (best) | $20.00 | $15.00 |
| Output | $1.60 (best) | $80.00 | $75.00 |
| Cached input | $0.10 | — | — |
| Blended (3:1) | $0.70 (best) | $35.00 | $30.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official OpenAI API | Official OpenAI API | Median of 14 providers |
| Limits | |||
| Context window | 1,047,576 tokens (best) | 200,000 tokens | 200,000 tokens |
| Max output | 32,768 tokens | 100,000 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 | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | gpt-4.1-mini | o3-pro | — |
| API providers | 24 (best) | 6 | 14 |
| Released | Apr 14, 2025 | Jun 10, 2025 | Aug 5, 2025 |
| Knowledge cutoff | Apr 2024 | May 2024 | 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
- o3-pro$360.00
- Claude Opus 4.1$300.00
Which should you choose?
Which is better: GPT-4.1 mini, o3-pro or Claude Opus 4.1?
GPT-4.1 mini is the better all-round choice, scoring 60/100 against o3-pro (51) and Claude Opus 4.1 (49). It leads on price and context window. o3-pro wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GPT-4.1 mini, o3-pro or Claude Opus 4.1?
GPT-4.1 mini is cheaper at $0.40 input / $1.60 output per million tokens (official OpenAI API price). Claude Opus 4.1 costs $15.00 input / $75.00 output per million tokens (median across 14 API providers); o3-pro costs $20.00 input / $80.00 output per million tokens (official OpenAI 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 $30.00 for Claude Opus 4.1 (43× as much) and $35.00 for o3-pro (50× as much).
Which scores higher on benchmarks?
o3-pro scores higher on the Capabilities Index (ECI): o3-pro 147.4 (#60 of 148), Claude Opus 4.1 144.1 (#81 of 148) and GPT-4.1 mini 135.0 (#115 of 148). The confidence ranges of the top two overlap (145.8–149.7 vs 141.6–146.0), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for GPT-4.1 mini and o3-pro yet, so there is no like-for-like coding score. On overall capability, o3-pro 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 o3-pro and 200,000 for Claude Opus 4.1. Maximum output per response: GPT-4.1 mini up to 32,768, o3-pro up to 100,000, Claude Opus 4.1 up to 32,000 tokens.
Which can read images, PDFs, audio or video?
GPT-4.1 mini accepts text, images and PDFs; o3-pro accepts text and images; Claude Opus 4.1 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, o3-pro and Claude Opus 4.1 are proprietary and only available through APIs and apps.
Which is newer?
Claude Opus 4.1 is the newest, released Aug 5, 2025. o3-pro came out Jun 10, 2025; GPT-4.1 mini came out Apr 14, 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, o3-pro May 2024, Claude Opus 4.1 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.
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