ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GPT-5.4 vs GPT-5.5 vs Claude Opus 4.8

Too close to call on our weighted score (GPT-5.4 65, GPT-5.5 63, Claude Opus 4.8 63). The right pick depends on what you value most.

  1. OpenAI

    GPT-5.4

    Released Mar 5, 2026

    65/100
    • ECI156.9
    • Price$2.50 / $15.00
    • Context1.05M
  2. OpenAI

    GPT-5.5

    Released Apr 23, 2026

    63/100
    • ECI159.2
    • Price$5.00 / $30.00
    • Context1.05M
  3. Anthropic

    Claude Opus 4.8

    Released May 28, 2026

    63/100
    • ECI158.3
    • Price$5.00 / $25.00
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (GPT-5.4 65/100, GPT-5.5 63/100, Claude Opus 4.8 63/100), so choose by what matters most for your work: GPT-5.5 for raw capability and GPT-5.4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.5Capabilities Index (ECI): GPT-5.5 159.2 · Claude Opus 4.8 158.3 · GPT-5.4 156.9
  • Lowest priceGPT-5.4GPT-5.4 $5.63 · Claude Opus 4.8 $10.00 · GPT-5.5 $11.25 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.4 and GPT-5.5GPT-5.4 1,050,000 · GPT-5.5 1,050,000 · Claude Opus 4.8 1,000,000 tokens
  • Widest inputsSame inputsGPT-5.4: Text, Images, PDFs · GPT-5.5: Text, Images, PDFs · Claude Opus 4.8: Text, Images, PDFs
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGPT-5.4GPT-5.5Claude Opus 4.8
CapabilityCapabilities Index (ECI)50%879089
Price25%1402
Inputs & features15%808080
Context window10%616160
Overall100%65/10063/10063/100
02 — Side by side

Every spec in one table

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

GPT-5.4 vs GPT-5.5 vs Claude Opus 4.8 specifications side by side
SpecificationGPT-5.4OpenAIGPT-5.5OpenAIClaude Opus 4.8Anthropic
Capability
Capabilities Index (ECI)156.9159.2 (best)158.3
ECI rank#16 of 148#10 of 148 (best)#12 of 148
GPQA DiamondGraduate-level science questions93.3%94.0% (best)91.0%
FrontierMath Tiers 1–3Research-level mathematics78.6%85.3% (best)80.0%
OTIS Mock AIME 2024–2025Competition mathematics97.8%100% (best)98.3%
SWE-bench VerifiedFixing real GitHub issues76.9%80.6% (best)—
SimpleQA VerifiedShort factual questions45.1%63.0% (best)53.0%
Price per million tokens
Input$2.50 (best)$5.00$5.00
Output$15.00 (best)$30.00$25.00
Cached input$0.25 (best)$0.50$0.50
Blended (3:1)$5.63 (best)$11.25$10.00
Long-context rateOver 272K: $5.00 / $22.50Over 272K: $10.00 / $45.00Same rate
Price sourceOfficial OpenAI APIOfficial OpenAI APIOfficial Anthropic API
Limits
Context window1,050,000 tokens (best)1,050,000 tokens (best)1,000,000 tokens
Max output128,000 tokens128,000 tokens128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesYes
AudioNoNoNo
VideoNoNoNo
ReasoningYeslow · medium · high · xhighYeslow · medium · high · xhighYeslow · medium · high · xhigh · max
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDgpt-5.4gpt-5.5claude-opus-4-8
API providers364245 (best)
ReleasedMar 5, 2026Apr 23, 2026May 28, 2026
Knowledge cutoffAug 31, 2025Dec 1, 2025Jan 2026
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-5.4$55.00
  • GPT-5.5$110.00
  • Claude Opus 4.8$100.00
04 — Questions

Which should you choose?

Which is better: GPT-5.4, GPT-5.5 or Claude Opus 4.8?

It is close. Our weighted score puts them within 2 points (GPT-5.4 65/100, GPT-5.5 63/100, Claude Opus 4.8 63/100), so choose by what matters most for your work: GPT-5.5 for raw capability and GPT-5.4 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.4, GPT-5.5 or Claude Opus 4.8?

GPT-5.4 is cheaper at $2.50 input / $15.00 output per million tokens (official OpenAI API price). Claude Opus 4.8 costs $5.00 input / $25.00 output per million tokens (official Anthropic API price); GPT-5.5 costs $5.00 input / $30.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $5.63 per million tokens for GPT-5.4 versus $10.00 for Claude Opus 4.8 (1.8× as much) and $11.25 for GPT-5.5 (2× as much).

Which scores higher on benchmarks?

GPT-5.5 scores higher on the Capabilities Index (ECI): GPT-5.5 159.2 (#10 of 148), Claude Opus 4.8 158.3 (#12 of 148) and GPT-5.4 156.9 (#16 of 148). The confidence ranges of the top two overlap (156.9–162.4 vs 156.1–160.7), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.5 94.0%, GPT-5.4 93.3%, Claude Opus 4.8 91.0%; FrontierMath Tiers 1–3 — GPT-5.5 85.3%, Claude Opus 4.8 80.0%, GPT-5.4 78.6%; OTIS Mock AIME 2024–2025 — GPT-5.5 100%, Claude Opus 4.8 98.3%, GPT-5.4 97.8%; SimpleQA Verified — GPT-5.5 63.0%, Claude Opus 4.8 53.0%, GPT-5.4 45.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Opus 4.8 yet, so there is no like-for-like coding score. On overall capability, GPT-5.5 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-5.4 and GPT-5.5 have the largest context windows (1,050,000 and 1,050,000 tokens), against 1,000,000 for Claude Opus 4.8. Maximum output per response: GPT-5.4 up to 128,000, GPT-5.5 up to 128,000, Claude Opus 4.8 up to 128,000 tokens.

Which can read images, PDFs, audio or video?

GPT-5.4 accepts text, images and PDFs; GPT-5.5 accepts text, images and PDFs; Claude Opus 4.8 accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. GPT-5.4, GPT-5.5 and Claude Opus 4.8 are proprietary and only available through APIs and apps.

Which is newer?

Claude Opus 4.8 is the newest, released May 28, 2026. GPT-5.5 came out Apr 23, 2026; GPT-5.4 came out Mar 5, 2026. Knowledge cutoff: GPT-5.4 Aug 31, 2025, GPT-5.5 Dec 1, 2025, Claude Opus 4.8 Jan 2026.

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.