gpt-5 vs claude-opus-4-6
Side-by-side comparison of gpt-5 and claude-opus-4-6 — benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5 outperforms claude-opus-4-6 on 8 of 9 shared benchmarks.
gpt-5
Input / 1M
$1.25
Output / 1M
$10.00
Context
400K
Model ID
openai/gpt-5
claude-opus-4-6
Input / 1M
$5.00
Output / 1M
$25.00
Context
1M
Model ID
anthropic/claude-opus-4-6
Benchmark comparison
MMLU Proknowledge
gpt-588.6%
claude-opus-4-687.8%
GPQA Diamondreasoning
gpt-581.7%
claude-opus-4-681.2%
HumanEvalcoding
gpt-593.9%
claude-opus-4-694.1%
SWE-Bench Verifiedcoding
gpt-574.9%
claude-opus-4-674.5%
MATHmath
gpt-593.4%
claude-opus-4-693.2%
AIME 2024math
gpt-588.5%
claude-opus-4-687.3%
MMMUmultimodal
gpt-579.1%
claude-opus-4-678.2%
LiveBenchreasoning
gpt-574.8%
claude-opus-4-673.4%
τ-bench Retailagentic
gpt-571.3%
claude-opus-4-671.2%
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
| gpt-5 | claude-opus-4-6 | |
|---|---|---|
| Input price / 1M | $1.25 | $5.00 |
| Output price / 1M | $10.00 | $25.00 |
| Context window | 400K tokens | 1M tokens |
| Max output | 128K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | — | Yes |
| Provider | OpenAI Inc. | Anthropic PBC |
Questions people ask
Is gpt-5 better than claude-opus-4-6?
gpt-5 outperforms claude-opus-4-6 on 8 of 9 shared benchmarks. See the benchmark comparison above for specifics — gpt-5 and claude-opus-4-6 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gpt-5 or claude-opus-4-6?
gpt-5 is cheaper. gpt-5 costs $1.25/$10.00 per 1M input/output tokens, while claude-opus-4-6 costs $5.00/$25.00.
Can I use gpt-5 and claude-opus-4-6 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "openai/gpt-5" or "anthropic/claude-opus-4-6" — no other code changes needed.
What are the context windows?
gpt-5 supports up to 400K tokens of context. claude-opus-4-6 supports up to 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 gpt-5 and claude-opus-4-6 with one line of code
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