ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Claude Sonnet 4.5 vs GPT-5.4 mini vs o3

GPT-5.4 mini comes out ahead, 63 to 58 and 55 on our weighted score, and it is the cheaper option too.

  1. Anthropic

    Claude Sonnet 4.5

    Released Sep 29, 2025

    55/100
    • ECI146.8
    • Price$3.00 / $15.00
    • Context200K
  2. Our pick

    OpenAI

    GPT-5.4 mini

    Released Mar 17, 2026

    63/100
    • ECI148.8
    • Price$0.75 / $4.50
    • Context400K
  3. OpenAI

    o3

    Released Apr 16, 2025

    58/100
    • ECI146.9
    • Price$2.00 / $8.00
    • Context200K
01 — Verdict

GPT-5.4 mini is our pick

GPT-5.4 mini is the better all-round choice, scoring 63/100 against o3 (58) and Claude Sonnet 4.5 (55). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.4 miniCapabilities Index (ECI): GPT-5.4 mini 148.8 · o3 146.9 · Claude Sonnet 4.5 146.8
  • Lowest priceGPT-5.4 miniGPT-5.4 mini $1.69 · o3 $3.50 · Claude Sonnet 4.5 $6.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 miniGPT-5.4 mini 400,000 · Claude Sonnet 4.5 200,000 · o3 200,000 tokens
  • Widest inputsClaude Sonnet 4.5 and o3Claude Sonnet 4.5: Text, Images, PDFs · GPT-5.4 mini: Text, Images · o3: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightClaude Sonnet 4.5GPT-5.4 minio3
CapabilityCapabilities Index (ECI)50%747774
Price25%133924
Inputs & features15%807080
Context window10%324432
Overall100%55/10063/10058/100
02 — Side by side

Every spec in one table

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

Claude Sonnet 4.5 vs GPT-5.4 mini vs o3 specifications side by side
SpecificationClaude Sonnet 4.5AnthropicGPT-5.4 miniOpenAIo3OpenAI
Capability
Capabilities Index (ECI)146.8148.8 (best)146.9
ECI rank#64 of 148#56 of 148 (best)#63 of 148
GPQA DiamondGraduate-level science questions82.3%86.9% (best)81.8%
FrontierMath Tiers 1–3Research-level mathematics23.9%51.2% (best)33.3%
OTIS Mock AIME 2024–2025Competition mathematics77.8%88.9% (best)84.4%
SWE-bench VerifiedFixing real GitHub issues71.3% (best)—62.3%
SimpleQA VerifiedShort factual questions30.7%29.4%49.4% (best)
Price per million tokens
Input$3.00$0.75 (best)$2.00
Output$15.00$4.50 (best)$8.00
Cached input$0.30$0.075 (best)$0.50
Blended (3:1)$6.00$1.69 (best)$3.50
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Anthropic APIOfficial OpenAI APIOfficial OpenAI API
Limits
Context window200,000 tokens400,000 tokens (best)200,000 tokens
Max output64,000 tokens128,000 tokens (best)100,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningYesYeslow · medium · high · xhighYeslow · medium · high
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDclaude-sonnet-4-5gpt-5.4-minio3
API providers2829 (best)18
ReleasedSep 29, 2025Mar 17, 2026Apr 16, 2025
Knowledge cutoffJul 31, 2025Aug 31, 2025May 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 4.5$60.00
  • GPT-5.4 mini$16.50
  • o3$36.00
04 — Questions

Which should you choose?

Which is better: Claude Sonnet 4.5, GPT-5.4 mini or o3?

GPT-5.4 mini is the better all-round choice, scoring 63/100 against o3 (58) and Claude Sonnet 4.5 (55). It leads on capability, price and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Claude Sonnet 4.5, GPT-5.4 mini or o3?

GPT-5.4 mini is cheaper at $0.75 input / $4.50 output per million tokens (official OpenAI API price). o3 costs $2.00 input / $8.00 output per million tokens (official OpenAI API price); Claude Sonnet 4.5 costs $3.00 input / $15.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $1.69 per million tokens for GPT-5.4 mini versus $3.50 for o3 (2.1× as much) and $6.00 for Claude Sonnet 4.5 (3.6× as much).

Which scores higher on benchmarks?

GPT-5.4 mini scores higher on the Capabilities Index (ECI): GPT-5.4 mini 148.8 (#56 of 148), o3 146.9 (#63 of 148) and Claude Sonnet 4.5 146.8 (#64 of 148). The confidence ranges of the top two overlap (147.1–150.5 vs 144.9–148.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 mini 86.9%, Claude Sonnet 4.5 82.3%, o3 81.8%; FrontierMath Tiers 1–3 — GPT-5.4 mini 51.2%, o3 33.3%, Claude Sonnet 4.5 23.9%; OTIS Mock AIME 2024–2025 — GPT-5.4 mini 88.9%, o3 84.4%, Claude Sonnet 4.5 77.8%; SimpleQA Verified — o3 49.4%, Claude Sonnet 4.5 30.7%, GPT-5.4 mini 29.4%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.4 mini yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 mini 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-5.4 mini has the largest context window at 400,000 tokens, against 200,000 for Claude Sonnet 4.5 and 200,000 for o3. Maximum output per response: Claude Sonnet 4.5 up to 64,000, GPT-5.4 mini up to 128,000, o3 up to 100,000 tokens.

Which can read images, PDFs, audio or video?

Claude Sonnet 4.5 accepts text, images and PDFs; GPT-5.4 mini accepts text and images; o3 accepts text, images and PDFs. Claude Sonnet 4.5 handles the widest range of inputs.

Are any of these open source?

No. Claude Sonnet 4.5, GPT-5.4 mini and o3 are proprietary and only available through APIs and apps.

Which is newer?

GPT-5.4 mini is the newest, released Mar 17, 2026. Claude Sonnet 4.5 came out Sep 29, 2025; o3 came out Apr 16, 2025. Knowledge cutoff: Claude Sonnet 4.5 Jul 31, 2025, GPT-5.4 mini Aug 31, 2025, o3 May 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.