ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-4.1 vs Claude Haiku 4.5 vs Claude Sonnet 3.7

Claude Haiku 4.5 comes out ahead, 58 to 53 and 50 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-4.1

    Released Apr 14, 2025

    53/100
    • ECI136.8
    • Price$2.00 / $8.00
    • Context1.05M
  2. Our pick

    Anthropic

    Claude Haiku 4.5

    Released Oct 15, 2025

    58/100
    • ECI142.4
    • Price$1.00 / $5.00
    • Context200K
  3. Anthropic

    Claude Sonnet 3.7

    Released Feb 19, 2025

    50/100
    • ECI141.2
    • Price$3.00 / $15.00
    • Context200K
01 — Verdict

Claude Haiku 4.5 is our pick

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against GPT-4.1 (53) and Claude Sonnet 3.7 (50). It leads on capability, price and inputs & features. GPT-4.1 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Claude Sonnet 3.7 141.2 · GPT-4.1 136.8
  • Lowest priceClaude Haiku 4.5Claude Haiku 4.5 $2.00 · GPT-4.1 $3.50 · Claude Sonnet 3.7 $6.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1GPT-4.1 1,047,576 · Claude Haiku 4.5 200,000 · Claude Sonnet 3.7 200,000 tokens
  • Widest inputsSame inputsGPT-4.1: Text, Images, PDFs · Claude Haiku 4.5: Text, Images, PDFs · Claude Sonnet 3.7: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-4.1Claude Haiku 4.5Claude Sonnet 3.7
CapabilityCapabilities Index (ECI)50%616967
Price25%243613
Inputs & features15%708070
Context window10%613232
Overall100%53/10058/10050/100
02 — Side by side

Every spec in one table

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

GPT-4.1 vs Claude Haiku 4.5 vs Claude Sonnet 3.7 specifications side by side
SpecificationGPT-4.1OpenAIClaude Haiku 4.5AnthropicClaude Sonnet 3.7Anthropic
Capability
Capabilities Index (ECI)136.8142.4 (best)141.2
ECI rank#111 of 148#90 of 148 (best)#96 of 148
GPQA DiamondGraduate-level science questions66.9%71.2%79.7% (best)
FrontierMath Tiers 1–3Research-level mathematics6.0%——
OTIS Mock AIME 2024–2025Competition mathematics38.3%66.7% (best)57.8%
SWE-bench VerifiedFixing real GitHub issues48.5%—61.0% (best)
SimpleQA VerifiedShort factual questions31.1% (best)13.2%—
Price per million tokens
Input$2.00$1.00 (best)$3.00
Output$8.00$5.00 (best)$15.00
Cached input$0.50$0.10 (best)—
Blended (3:1)$3.50$2.00 (best)$6.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Anthropic APIMedian of 3 providers
Limits
Context window1,047,576 tokens (best)200,000 tokens200,000 tokens
Max output32,768 tokens64,000 tokens (best)64,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningNoYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-4.1claude-haiku-4-5—
API providers2534 (best)3
ReleasedApr 14, 2025Oct 15, 2025Feb 19, 2025
Knowledge cutoffApr 2024Feb 28, 2025Oct 31, 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.

  • GPT-4.1$36.00
  • Claude Haiku 4.5$20.00
  • Claude Sonnet 3.7$60.00
04 — Questions

Which should you choose?

Which is better: GPT-4.1, Claude Haiku 4.5 or Claude Sonnet 3.7?

Claude Haiku 4.5 is the better all-round choice, scoring 58/100 against GPT-4.1 (53) and Claude Sonnet 3.7 (50). It leads on capability, price and inputs & features. GPT-4.1 wins on context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-4.1, Claude Haiku 4.5 or Claude Sonnet 3.7?

Claude Haiku 4.5 is cheaper at $1.00 input / $5.00 output per million tokens (official Anthropic 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 $2.00 per million tokens for Claude Haiku 4.5 versus $3.50 for GPT-4.1 (1.8× as much) and $6.00 for Claude Sonnet 3.7 (3× as much).

Which scores higher on benchmarks?

Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148), Claude Sonnet 3.7 141.2 (#96 of 148) and GPT-4.1 136.8 (#111 of 148). The confidence ranges of the top two overlap (139.5–144.3 vs 138.7–142.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.7 79.7%, Claude Haiku 4.5 71.2%, GPT-4.1 66.9%; OTIS Mock AIME 2024–2025 — Claude Haiku 4.5 66.7%, Claude Sonnet 3.7 57.8%, GPT-4.1 38.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Haiku 4.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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 has the largest context window at 1,047,576 tokens, against 200,000 for Claude Haiku 4.5 and 200,000 for Claude Sonnet 3.7. Maximum output per response: GPT-4.1 up to 32,768, Claude Haiku 4.5 up to 64,000, Claude Sonnet 3.7 up to 64,000 tokens.

Which can read images, PDFs, audio or video?

GPT-4.1 accepts text, images and PDFs; Claude Haiku 4.5 accepts text, images and PDFs; Claude Sonnet 3.7 accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. GPT-4.1, Claude Haiku 4.5 and Claude Sonnet 3.7 are proprietary and only available through APIs and apps.

Which is newer?

Claude Haiku 4.5 is the newest, released Oct 15, 2025. GPT-4.1 came out Apr 14, 2025; Claude Sonnet 3.7 came out Feb 19, 2025. Knowledge cutoff: GPT-4.1 Apr 2024, Claude Haiku 4.5 Feb 28, 2025, Claude Sonnet 3.7 Oct 31, 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.