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claude-opus-4-7 vs gpt-5.4

Side-by-side comparison of claude-opus-4-7 and gpt-5.4 — benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.4 outperforms claude-opus-4-7 on 9 of 9 shared benchmarks.

Benchmark comparison

MMLU Proknowledge
claude-opus-4-789.1%
gpt-5.491.2%
GPQA Diamondreasoning
claude-opus-4-783.4%
gpt-5.486.5%
HumanEvalcoding
claude-opus-4-795.2%
gpt-5.496.4%
SWE-Bench Verifiedcoding
claude-opus-4-778.6%
gpt-5.482.1%
MATHmath
claude-opus-4-794.8%
gpt-5.496.5%
AIME 2024math
claude-opus-4-791.5%
gpt-5.494.8%
MMMUmultimodal
claude-opus-4-779.8%
gpt-5.482.6%
LiveBenchreasoning
claude-opus-4-776.2%
gpt-5.479.3%
τ-bench Retailagentic
claude-opus-4-774.5%
gpt-5.478.4%

Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.

Pricing & specifications

claude-opus-4-7gpt-5.4
Input price / 1M$5.00$2.50
Output price / 1M$25.00$15.00
Context window1M tokens1.1M tokens
Max output128K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYes
ProviderAnthropic PBCOpenAI Inc.

Questions people ask

Is claude-opus-4-7 better than gpt-5.4?
gpt-5.4 outperforms claude-opus-4-7 on 9 of 9 shared benchmarks. See the benchmark comparison above for specifics — claude-opus-4-7 and gpt-5.4 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — claude-opus-4-7 or gpt-5.4?
gpt-5.4 is cheaper. claude-opus-4-7 costs $5.00/$25.00 per 1M input/output tokens, while gpt-5.4 costs $2.50/$15.00.
Can I use claude-opus-4-7 and gpt-5.4 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "anthropic/claude-opus-4-7" or "openai/gpt-5.4" — no other code changes needed.
What are the context windows?
claude-opus-4-7 supports up to 1M tokens of context. gpt-5.4 supports up to 1.1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.

Switch between claude-opus-4-7 and gpt-5.4 with one line of code

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