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Model compare

Claude Opus 4.7 vs GPT-5.5

The readout for Claude Opus 4.7 and GPT-5.5, before the detailed comparison sheet.

Model A

Claude Opus 4.7

Anthropic

Contender
vs

Model B

GPT-5.5

OpenAI

Leading

Key Takeaways

Weighted outcome: GPT-5.5. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.

Decision read

GPT-5.5

GPT-5.5 has the higher weighted result; Model A / B score 12 to 88.

Evidence depth

127 data points

Includes 31 benchmark rows, 0 audit samples, and 10 provider examples.

Selection signal

Start with GPT-5.5

The charts below split 41 high-signal samples across speed, scores, and audit health.

Change comparison

Switch either side of this report to compare another model with the same LMSpeed data pipeline.

Select a different model to open a new comparison URL.

Comparison sheet

This report only uses LMSpeed data for Claude Opus 4.7 and GPT-5.5: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.

Model compare
Claude Opus 4.7
GPT-5.5
Overall leaderContenderLeading
Weighted overall score12.0 pts88.0 pts
Benchmark category leads0 categories6 categories
Operational advantagesAverage speed, First-token latency, Provider coverageCheapest input price, Free providers
Context window1M tokens1.1M tokens
Max output128K tokens128K tokens
Modalities

Input

TextImageFile

Output

Text

Input

FileImageText

Output

Text
Features
Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning
Text inputImage inputFile inputText outputTool callingStructured outputsJSON modeReasoning

The overall result weights benchmark capability categories at 80% and price, API speed/latency, and availability at 20%. Recent test volume does not affect the winner, and missing benchmark categories are excluded.

Model metadata

Model compare
Claude Opus 4.7
GPT-5.5
DeveloperAnthropicOpenAI
ReleasedMay 2026Apr 2026
ParametersNo dataNo data
TokenizerClaudeGPT
Knowledge cutoffNo data2025-12-01
OpenRouter IDanthropic/claude-opus-4.7openai/gpt-5.5
ReferencesNo dataNo data

When to choose each model

This report only uses LMSpeed data for Claude Opus 4.7 and GPT-5.5: pricing, speed aggregates, third-party benchmark scores, and shared provider samples.

Claude Opus 4.7

Claude Opus 4.7 has these operational advantages: Average speed, First-token latency, Provider coverage.

GPT-5.5

GPT-5.5 is stronger in benchmark categories (Agents, Coding, Reasoning, Knowledge, Math) and operational dimensions (Cheapest input price, Free providers).

Benchmark score comparison

Third-party benchmark profile synced into LMSpeed; only metrics available for both models are shown.

Category performance

Compare benchmark category scores on a 0-100 scale. Select a category to inspect the gap.

Model A coverage
6 / 8
Model B coverage
7 / 8
Shared
6 shared categories

Avg. score

Claude Opus 4.7

53.5

Avg. score

GPT-5.5

57.7

Agents

GPT-5.5 leads by 7.2

Claude Opus 4.753.7
GPT-5.560.9

Coding

GPT-5.5 leads by 0.8

Claude Opus 4.758.5
GPT-5.559.3

Reasoning

GPT-5.5 leads by 4.0

Claude Opus 4.754.8
GPT-5.558.8

Knowledge

GPT-5.5 leads by 4.9

Claude Opus 4.753.6
GPT-5.558.5

Math

GPT-5.5 leads by 0.2

Claude Opus 4.756
GPT-5.556.2

Multilingual

No data

Claude Opus 4.7-
GPT-5.5-

Multimodal

GPT-5.5

Claude Opus 4.7-
GPT-5.555.7

Instruction following

GPT-5.5 leads by 10.3

Claude Opus 4.744.5
GPT-5.554.8

Professional benchmark details

Metric-level scores with benchmark source, rank depth, confidence, error, and evaluation date where available.

Aggregatereported

BenchLM overall score

SourceClaude Opus 4.7

Claude Opus 4.7

66.0

Rank #32/111 · confidence 1 · eval date 2026-04-16

+3.0

GPT-5.5

winner

69.0

Rank #20/111 · confidence 4 · eval date 2026-04-23

Pricingverified

Input price

SourceClaude Opus 4.7 (Adaptive Reasoning, Max Effort)

Claude Opus 4.7

$5.00/M

Rank #168/186 · confidence 4

$0.0000/M

GPT-5.5

$5.00/M

Rank #168/186 · confidence 4

Pricingverified

Blended price

SourceClaude Opus 4.7 (Adaptive Reasoning, Max Effort)

Claude Opus 4.7

winner

$10.00/M

Rank #169/186 · confidence 4

+$1.25/M

GPT-5.5

$11.25/M

Rank #174/186 · confidence 4

Pricingverified

Output price

SourceClaude Opus 4.7 (Adaptive Reasoning, Max Effort)

Claude Opus 4.7

winner

$25.00/M

Rank #169/186 · confidence 4

+$5.00/M

GPT-5.5

$30.00/M

Rank #174/186 · confidence 4

Reasoningreported

AA-LCR

SourceClaude Opus 4.7

Claude Opus 4.7

72.3

Rank #58/106 · confidence 1 · eval date 2026-04-16

+12.0

GPT-5.5

winner

84.3

Rank #3/106 · confidence 4 · eval date 2026-04-23

Reasoningverified

GPQA

SourceClaude Opus 4.7 (Adaptive Reasoning, Max Effort)

Claude Opus 4.7

91.4%

Rank #22/218 · confidence 4

+2.1%

GPT-5.5

winner

93.5%

Rank #7/218 · confidence 4

Reasoningreported

CritPt

SourceClaude Opus 4.7

Claude Opus 4.7

5.1

Rank #47/88 · confidence 1 · eval date 2026-04-16

+22.0

GPT-5.5

winner

27.1

Rank #9/88 · confidence 4 · eval date 2026-04-23

Reasoningverified

HLE

SourceClaude Opus 4.7 (Adaptive Reasoning, Max Effort)

Claude Opus 4.7

42.3%

Rank #24/216 · confidence 4

+3.5%

GPT-5.5

winner

45.8%

Rank #15/216 · confidence 4

Codingreported

Vibe Code Bench

SourceClaude Opus 4.7

Claude Opus 4.7

winner

71.0

Rank #1/33 · confidence 1 · eval date 2026-04-16

+1.2

GPT-5.5

69.8

Rank #2/33 · confidence 4 · eval date 2026-04-23

Codingreported

React Native Evals

SourceClaude Opus 4.7

Claude Opus 4.7

82.8

Rank #4/12 · confidence 1 · eval date 2026-04-16

+1.9

GPT-5.5

winner

84.7

Rank #2/12 · confidence 4 · eval date 2026-04-23

Codingreported

FrontierCode 1.1 Main

SourceClaude Opus 4.7

Claude Opus 4.7

38.5

Rank #8/11 · confidence 1 · eval date 2026-04-16

+4.5

GPT-5.5

winner

43.0

Rank #6/11 · confidence 4 · eval date 2026-04-23

Codingreported

AA-SciCode

SourceClaude Opus 4.7

Claude Opus 4.7

50.1

Rank #34/113 · confidence 1 · eval date 2026-04-16

+5.7

GPT-5.5

winner

55.8

Rank #16/113 · confidence 4 · eval date 2026-04-23

Codingreported

BenchLM Coding score

SourceClaude Opus 4.7

Claude Opus 4.7

winner

63.3

Rank #18/87 · confidence 1 · eval date 2026-04-16

+11.4

GPT-5.5

51.9

Rank #51/87 · confidence 4 · eval date 2026-04-23

Mathreported

FrontierMath v2 (Tiers 1-3)

SourceClaude Opus 4.7

Claude Opus 4.7

43.8

Rank #9/47 · confidence 1 · eval date 2026-04-16

+7.9

GPT-5.5

winner

51.7

Rank #4/47 · confidence 4 · eval date 2026-04-23

Mathreported

FrontierMath v2 (Tier 4)

SourceClaude Opus 4.7

Claude Opus 4.7

22.9

Rank #10/36 · confidence 1 · eval date 2026-04-16

+12.5

GPT-5.5

winner

35.4

Rank #7/36 · confidence 4 · eval date 2026-04-23

Mathreported

BenchLM Math score

SourceClaude Opus 4.7

Claude Opus 4.7

61.7

Rank #28/63 · confidence 1 · eval date 2026-04-16

+7.9

GPT-5.5

winner

69.6

Rank #21/63 · confidence 4 · eval date 2026-04-23

Knowledgereported

AA-Omniscience Accuracy

SourceClaude Opus 4.7

Claude Opus 4.7

44.7

Rank #26/106 · confidence 1 · eval date 2026-04-16

+13.3

GPT-5.5

winner

58.0

Rank #6/106 · confidence 4 · eval date 2026-04-23

Knowledgereported

AA-GPQA Diamond

SourceClaude Opus 4.7

Claude Opus 4.7

88.5

Rank #43/113 · confidence 1 · eval date 2026-04-16

+5.0

GPT-5.5

winner

93.5

Rank #8/113 · confidence 4 · eval date 2026-04-23

Knowledgereported

AA-HLE

SourceClaude Opus 4.7

Claude Opus 4.7

33.3

Rank #43/114 · confidence 1 · eval date 2026-04-16

+12.5

GPT-5.5

winner

45.8

Rank #13/114 · confidence 4 · eval date 2026-04-23

Knowledgereported

Artificial Analysis Intelligence Index

SourceClaude Opus 4.7

Claude Opus 4.7

winner

43.9

Rank #14/117 · confidence 1 · eval date 2026-04-16

+5.2

GPT-5.5

38.6

Rank #30/117 · confidence 4 · eval date 2026-04-23

Knowledgereported

AA-Omniscience Index

SourceClaude Opus 4.7

Claude Opus 4.7

14.8

Rank #23/45 · confidence 1 · eval date 2026-04-16

+5.7

GPT-5.5

winner

20.5

Rank #18/45 · confidence 4 · eval date 2026-04-23

Knowledgereported

AA-Omniscience Hallucination Rate

SourceClaude Opus 4.7

Claude Opus 4.7

54.1

Rank #70/106 · confidence 1 · eval date 2026-04-16

+34.9

GPT-5.5

winner

89.0

Rank #22/106 · confidence 4 · eval date 2026-04-23

Knowledgereported

BenchLM Knowledge score

SourceClaude Opus 4.7

Claude Opus 4.7

65.5

Rank #49/83 · confidence 1 · eval date 2026-04-16

+13.3

GPT-5.5

winner

78.8

Rank #22/83 · confidence 4 · eval date 2026-04-23

Multimodalreported

Design Arena Website

SourceClaude Opus 4.7

Claude Opus 4.7

winner

1307.0

Rank #13/78 · confidence 1 · eval date 2026-04-16

+37.0

GPT-5.5

1270.0

Rank #30/78 · confidence 4 · eval date 2026-04-23

Multimodalreported

AA-MMMU-Pro

SourceClaude Opus 4.7

Claude Opus 4.7

76.4

Rank #27/68 · confidence 1 · eval date 2026-04-16

+3.5

GPT-5.5

winner

79.9

Rank #15/68 · confidence 4 · eval date 2026-04-23

Instruction followingreported

AA-IFBench

SourceClaude Opus 4.7

Claude Opus 4.7

43.6

Rank #61/84 · confidence 1 · eval date 2026-04-16

+32.3

GPT-5.5

winner

75.9

Rank #13/84 · confidence 4 · eval date 2026-04-23

Agentsreported

Gert Labs

SourceClaude Opus 4.7

Claude Opus 4.7

65.6

Rank #3/49 · confidence 1 · eval date 2026-04-16

+7.3

GPT-5.5

winner

72.9

Rank #2/49 · confidence 4 · eval date 2026-04-23

Agentsreported

ResearchClawBench

SourceClaude Opus 4.7

Claude Opus 4.7

winner

20.7

Rank #2/18 · confidence 1 · eval date 2026-04-16

+3.7

GPT-5.5

17.0

Rank #11/18 · confidence 4 · eval date 2026-04-23

Agentsreported

τ²-bench results

SourceClaude Opus 4.7

Claude Opus 4.7

74.0

Rank #59/82 · confidence 1 · eval date 2026-04-16

+24.0

GPT-5.5

winner

98.0

Rank #8/82 · confidence 4 · eval date 2026-04-23

Agentsreported

OSWorld 2.0

SourceClaude Opus 4.7

Claude Opus 4.7

winner

13.9

Rank #14/19 · confidence 1 · eval date 2026-04-16

+0.9

GPT-5.5

13.0

Rank #15/19 · confidence 4 · eval date 2026-04-23

Agentsreported

BenchLM Agentic score

SourceClaude Opus 4.7

Claude Opus 4.7

70.4

Rank #30/76 · confidence 1 · eval date 2026-04-16

+7.2

GPT-5.5

winner

77.6

Rank #19/76 · confidence 4 · eval date 2026-04-23

API audit comparison

Latest completed audits from shared providers, with four safety and integrity score groups plus report links.

Provider
Claude Opus 4.7
GPT-5.5
No completed audits are available from shared providers yet.

Provider examples

Speed aggregates and input/output pricing share each provider row for real API selection and migration cost checks.

Provider
Claude Opus 4.7
GPT-5.5
6345ywz API35 tests

Claude Opus 4.7

speed / latency

N/A / N/A

input / output

No data

GPT-5.5

speed / latency

38 tok/s / 8937ms

input / output

No data

Tokeness.io30 tests

Claude Opus 4.7

speed / latency

43 tok/s / 2783ms

input / output

No data

GPT-5.5

speed / latency

52 tok/s / 3050ms

input / output

No data

FreeModel25 tests

Claude Opus 4.7

speed / latency

N/A / N/A

input / output

No data

GPT-5.5

speed / latency

38 tok/s / 7849ms

input / output

No data

Fengsili API15 tests

Claude Opus 4.7

speed / latency

52 tok/s / 3590ms

input / output

No data

GPT-5.5

speed / latency

58 tok/s / 3313ms

input / output

No data

9527 API10 tests

Claude Opus 4.7

speed / latency

N/A / N/A

input / output

No data

GPT-5.5

speed / latency

52 tok/s / 2732ms

input / output

No data

Dext API

Claude Opus 4.7

claude-opus-4-7

speed / latency

No data

input / output

$0.240/M/$1.20/M

GPT-5.5

gpt-5-5

speed / latency

No data

input / output

$0/M/$0/M

兔子API

Claude Opus 4.7

claude-opus-4-7

speed / latency

No data

input / output

$0/request

GPT-5.5

gpt-5.5-high

speed / latency

No data

input / output

$0/request

鲨鱼魔法

Claude Opus 4.7

[lq]q|CS/claude-opus-4-7

speed / latency

No data

input / output

$28.80/request

GPT-5.5

[lq]t|CX/gpt-5.5

speed / latency

No data

input / output

$0/M/$0/M

熊猫 API

Claude Opus 4.7

熊猫-特供-按量-满血逆-claude-opus-4-7

speed / latency

No data

input / output

$0.015/M/$0.076/M

GPT-5.5

gpt-5.5

speed / latency

No data

input / output

$0.0089/M/$0.072/M

KFCV50

Claude Opus 4.7

claude-opus-4-7

speed / latency

No data

input / output

$0.017/request

GPT-5.5

gpt-5.5

speed / latency

No data

input / output

$0.342/M/$2.05/M

FAQ

Weighted outcome: GPT-5.5. Benchmark capability categories carry 80%, while price, API performance, and availability carry 20%.

Why is this comparison indexable?
It has 6 verifiable comparison points, and both models have pricing or benchmark data.
Are missing metrics invented?
No. Metrics without LMSpeed data are omitted from this report.

Rankings are based on community-submitted tests and periodic health probes. Advisory only, not official data.