ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Sonnet 3.7 vs GPT-4.1 vs Gemini 2.5 Pro

Gemini 2.5 Pro comes out ahead, 63 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. 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
  3. Our pick

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • Context1.05M
    Full specs Remove Gemini 2.5 Pro
01 — Verdict

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GPT-4.1 (53) and Claude Sonnet 3.7 (50). It leads on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 2.5 ProCapabilities Index (ECI): Gemini 2.5 Pro 145.3 · Claude Sonnet 3.7 141.2 · GPT-4.1 136.8
  • Lowest priceGemini 2.5 ProGemini 2.5 Pro $3.44 · GPT-4.1 $3.50 · Claude Sonnet 3.7 $6.00 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 Pro and GPT-4.1Gemini 2.5 Pro 1,048,576 · GPT-4.1 1,047,576 · Claude Sonnet 3.7 200,000 tokens
  • Widest inputsGemini 2.5 ProClaude Sonnet 3.7: Text, Images, PDFs · GPT-4.1: Text, Images, PDFs · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Sonnet 3.7GPT-4.1Gemini 2.5 Pro
CapabilityCapabilities Index (ECI)50%676172
Price25%132424
Inputs & features15%7070100
Context window10%326161
Overall100%50/10053/10063/100
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 vs Gemini 2.5 Pro specifications side by side
SpecificationClaude Sonnet 3.7AnthropicGPT-4.1OpenAIGemini 2.5 ProGoogle
Capability
Capabilities Index (ECI)141.2136.8145.3 (best)
ECI rank#96 of 148#111 of 148#78 of 148 (best)
GPQA DiamondGraduate-level science questions79.7%66.9%85.3% (best)
FrontierMath Tiers 1–3Research-level mathematics—6.0%24.6% (best)
OTIS Mock AIME 2024–2025Competition mathematics57.8%38.3%84.7% (best)
SWE-bench VerifiedFixing real GitHub issues61.0% (best)48.5%57.6%
SimpleQA VerifiedShort factual questions—31.1%—
Price per million tokens
Input$3.00$2.00$1.25 (best)
Output$15.00$8.00 (best)$10.00
Cached input—$0.50$0.125 (best)
Blended (3:1)$6.00$3.50$3.44 (best)
Long-context rateSame rateSame rateOver 200K: $2.50 / $15.00
Price sourceMedian of 3 providersOfficial OpenAI APIOfficial Google API
Limits
Context window200,000 tokens1,047,576 tokens1,048,576 tokens (best)
Max output64,000 tokens32,768 tokens65,536 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoYes
VideoNoNoYes
ReasoningYesNoYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model ID—gpt-4.1gemini-2.5-pro
API providers325 (best)22
ReleasedFeb 19, 2025Apr 14, 2025Jun 17, 2025
Knowledge cutoffOct 31, 2024Apr 2024Jan 2025
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$36.00
  • Gemini 2.5 Pro$32.50
04 — Questions

Which should you choose?

Which is better: Claude Sonnet 3.7, GPT-4.1 or Gemini 2.5 Pro?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GPT-4.1 (53) and Claude Sonnet 3.7 (50). It leads on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Sonnet 3.7, GPT-4.1 or Gemini 2.5 Pro?

Gemini 2.5 Pro is cheaper at $1.25 input / $10.00 output per million tokens (official Google 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 $3.44 per million tokens for Gemini 2.5 Pro versus $3.50 for GPT-4.1 (1× as much) and $6.00 for Claude Sonnet 3.7 (1.7× as much).

Which scores higher on benchmarks?

Gemini 2.5 Pro scores higher on the Capabilities Index (ECI): Gemini 2.5 Pro 145.3 (#78 of 148), Claude Sonnet 3.7 141.2 (#96 of 148) and GPT-4.1 136.8 (#111 of 148). Their confidence ranges do not overlap (143.6–146.9 vs 138.7–142.9), so the gap is a real one. On individual benchmarks: GPQA Diamond — Gemini 2.5 Pro 85.3%, Claude Sonnet 3.7 79.7%, GPT-4.1 66.9%; OTIS Mock AIME 2024–2025 — Gemini 2.5 Pro 84.7%, Claude Sonnet 3.7 57.8%, GPT-4.1 38.3%; SWE-bench Verified — Claude Sonnet 3.7 61.0%, Gemini 2.5 Pro 57.6%, GPT-4.1 48.5%.

Which is better for coding?

Claude Sonnet 3.7 resolves more real GitHub issues on SWE-bench Verified: Claude Sonnet 3.7 61.0%, Gemini 2.5 Pro 57.6% and GPT-4.1 48.5%. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Pro and GPT-4.1 have the largest context windows (1,048,576 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 up to 32,768, Gemini 2.5 Pro up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Claude Sonnet 3.7 accepts text, images and PDFs; GPT-4.1 accepts text, images and PDFs; Gemini 2.5 Pro accepts text, images, PDFs, audio and video. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

No. Claude Sonnet 3.7, GPT-4.1 and Gemini 2.5 Pro are proprietary and only available through APIs and apps.

Which is newer?

Gemini 2.5 Pro is the newest, released Jun 17, 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 Apr 2024, Gemini 2.5 Pro Jan 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.

05 — Keep comparing

Related comparisons