GPT-5.4 vs Claude Opus 4.6
Comprehensive comparison between OpenAI's GPT-5.4 and Anthropic's Claude Opus 4.6. Compare pricing, performance, features, and user reviews.
gpt 5.4 vs claude opuslatest gpt vs claude
GPT-5.4
OpenAIOpenAI's most capable and efficient frontier model for professional work. Combines industry-leading coding with native computer use, 1M+ context window, and improved reasoning. First GPT model to beat human performance on desktop navigation tasks.
$2.5/$15per M tokens
Details Claude Opus 4.6
AnthropicAnthropic's flagship model with 1M token context (beta), adaptive thinking, and the highest agentic coding scores. Introduced Agent Teams for parallel autonomous coding. Nearly doubled ARC-AGI-2 score over Opus 4.5 (68.8% vs 37.6%).
$5/$25per M tokens
Details Specs Comparison
| Specification | GPT-5.4 | Claude Opus 4.6 |
|---|---|---|
| Context Window | 1050K | 1000K |
| Max Output | 128K | 128K |
| Input (per 1M tokens) | $2.50 | $5.00 |
| Output (per 1M tokens) | $15.00 | $25.00 |
| Reasoning | ||
| Open Source |
Scenario Score Comparison
Coding
94
vs
96
Writing
93
vs
91
GPT-5.4
Pros
- + 1M+ context window (largest in GPT lineup)
- + Native computer use capability
- + 33% fewer hallucinations vs GPT-5.2
- + Tool search reduces tokens by 47%
- + Half the price of Claude Opus 4.6
Cons
- − 2x pricing above 272K tokens
- − 24% longer average responses (more output tokens)
- − Health benchmarks slightly worse than 5.2
- − Some users report benchmark-optimized feel
Claude Opus 4.6
Pros
- + Highest SWE-bench score (80.8%)
- + 128K max output (doubled from 4.5)
- + Adaptive thinking with effort levels
- + Agent Teams for parallel coding
- + Best instruction following in complex contexts
Cons
- − 2x price of GPT-5.4
- − Response prefilling removed (breaking change)
- − 1M context in beta only
- − Extended thinking deprecated
Recommendation
Choose GPT-5.4 if you:
- • Need 1m+ context window (largest in gpt lineup)
- • Need native computer use capability
- • Need 33% fewer hallucinations vs gpt-5.2
Choose Claude Opus 4.6 if you:
- • Need highest swe-bench score (80.8%)
- • Need 128k max output (doubled from 4.5)
- • Need adaptive thinking with effort levels
Based on scores across 2 scenarios, both models perform equally well.
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