ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Sonnet 3.7 vs GPT-4.1 mini vs GPT-4.1

GPT-4.1 mini comes out ahead, 60 to 53 and 50 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Sonnet 3.7

    Released Feb 19, 2025

    50/100
    • ECI141.2
    • Price$3.00 / $15.00
    • Context200K
    Full specs Remove Claude Sonnet 3.7
  2. Our pick

    OpenAI

    GPT-4.1 mini

    Released Apr 14, 2025

    60/100
    • ECI135.0
    • Price$0.40 / $1.60
    • Context1.05M
    Full specs Remove GPT-4.1 mini

  3. OpenAI

    GPT-4.1

    Released Apr 14, 2025

    53/100
    • ECI136.8
    • Price$2.00 / $8.00
    • Context1.05M
    Full specs Remove GPT-4.1
01 — Verdict

GPT-4.1 mini is our pick

GPT-4.1 mini is the better all-round choice, scoring 60/100 against GPT-4.1 (53) and Claude Sonnet 3.7 (50). It leads on price. Claude Sonnet 3.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Sonnet 3.7Capabilities Index (ECI): Claude Sonnet 3.7 141.2 · GPT-4.1 136.8 · GPT-4.1 mini 135.0
  • Lowest priceGPT-4.1 miniGPT-4.1 mini $0.70 · GPT-4.1 $3.50 · Claude Sonnet 3.7 $6.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1 mini and GPT-4.1GPT-4.1 mini 1,047,576 · GPT-4.1 1,047,576 · Claude Sonnet 3.7 200,000 tokens
  • Widest inputsSame inputsClaude Sonnet 3.7: Text, Images, PDFs · GPT-4.1 mini: Text, Images, PDFs · GPT-4.1: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Sonnet 3.7GPT-4.1 miniGPT-4.1
CapabilityCapabilities Index (ECI)50%675961
Price25%135724
Inputs & features15%707070
Context window10%326161
Overall100%50/10060/10053/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Claude Sonnet 3.7 vs GPT-4.1 mini vs GPT-4.1 specifications side by side
SpecificationClaude Sonnet 3.7AnthropicGPT-4.1 miniOpenAIGPT-4.1OpenAI
Capability
Capabilities Index (ECI)141.2 (best)135.0136.8
ECI rank#96 of 148 (best)#115 of 148#111 of 148
GPQA DiamondGraduate-level science questions79.7% (best)65.9%66.9%
FrontierMath Tiers 1–3Research-level mathematics—6.7% (best)6.0%
OTIS Mock AIME 2024–2025Competition mathematics57.8% (best)44.7%38.3%
SWE-bench VerifiedFixing real GitHub issues61.0% (best)—48.5%
SimpleQA VerifiedShort factual questions—12.7%31.1% (best)
Price per million tokens
Input$3.00$0.40 (best)$2.00
Output$15.00$1.60 (best)$8.00
Cached input—$0.10 (best)$0.50
Blended (3:1)$6.00$0.70 (best)$3.50
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 3 providersOfficial OpenAI APIOfficial OpenAI API
Limits
Context window200,000 tokens1,047,576 tokens (best)1,047,576 tokens (best)
Max output64,000 tokens (best)32,768 tokens32,768 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoNo
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model ID—gpt-4.1-minigpt-4.1
API providers32425 (best)
ReleasedFeb 19, 2025Apr 14, 2025Apr 14, 2025
Knowledge cutoffOct 31, 2024Apr 2024Apr 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Claude Sonnet 3.7$60.00
  • GPT-4.1 mini$7.20
  • GPT-4.1$36.00
04 — Questions

Which should you choose?

Which is better: Claude Sonnet 3.7, GPT-4.1 mini or GPT-4.1?

GPT-4.1 mini is the better all-round choice, scoring 60/100 against GPT-4.1 (53) and Claude Sonnet 3.7 (50). It leads on price. Claude Sonnet 3.7 wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Sonnet 3.7, GPT-4.1 mini or GPT-4.1?

GPT-4.1 mini is cheaper at $0.40 input / $1.60 output per million tokens (official OpenAI API price). GPT-4.1 costs $2.00 input / $8.00 output per million tokens (official OpenAI API price); Claude Sonnet 3.7 costs $3.00 input / $15.00 output per million tokens (median across 3 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 $3.50 for GPT-4.1 (5× as much) and $6.00 for Claude Sonnet 3.7 (8.6× as much).

Which scores higher on benchmarks?

Claude Sonnet 3.7 scores higher on the Capabilities Index (ECI): Claude Sonnet 3.7 141.2 (#96 of 148), GPT-4.1 136.8 (#111 of 148) and GPT-4.1 mini 135.0 (#115 of 148). Their confidence ranges do not overlap (138.7–142.9 vs 133.6–138.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.7 79.7%, GPT-4.1 66.9%, GPT-4.1 mini 65.9%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.7 57.8%, GPT-4.1 mini 44.7%, GPT-4.1 38.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-4.1 mini yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 3.7 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 and GPT-4.1 have the largest context windows (1,047,576 and 1,047,576 tokens), against 200,000 for Claude Sonnet 3.7. Maximum output per response: Claude Sonnet 3.7 up to 64,000, GPT-4.1 mini up to 32,768, GPT-4.1 up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Claude Sonnet 3.7 accepts text, images and PDFs; GPT-4.1 mini accepts text, images and PDFs; GPT-4.1 accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. Claude Sonnet 3.7, GPT-4.1 mini and GPT-4.1 are proprietary and only available through APIs and apps.

Which is newer?

GPT-4.1 mini is the newest, released Apr 14, 2025. GPT-4.1 came out Apr 14, 2025; Claude Sonnet 3.7 came out Feb 19, 2025. Knowledge cutoff: Claude Sonnet 3.7 Oct 31, 2024, GPT-4.1 mini Apr 2024, GPT-4.1 Apr 2024.

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.

05 — Keep comparing

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