claude-sonnet-4-5 vs gpt-5
Side-by-side comparison of claude-sonnet-4-5 and gpt-5— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
claude-sonnet-4-5
Input / 1M
$3.00
Output / 1M
$15.00
Context
1M
Model ID
anthropic/claude-sonnet-4-5

gpt-5
Input / 1M
$1.25
Output / 1M
$10.00
Context
400K
Model ID
openai/gpt-5
Benchmark comparison
Intelligence Indexreasoning
claude-sonnet-4-5—
gpt-544.6%
Coding Indexcoding
claude-sonnet-4-5—
gpt-536.0%
Math Indexmath
claude-sonnet-4-5—
gpt-594.3%
GPQA Diamondreasoning
claude-sonnet-4-5—
gpt-585.4%
AIME 2025math
claude-sonnet-4-5—
gpt-594.3%
LiveCodeBenchcoding
claude-sonnet-4-5—
gpt-584.6%
Terminal-Bench Hardagentic
claude-sonnet-4-5—
gpt-532.6%
τ²-Benchagentic
claude-sonnet-4-5—
gpt-584.8%
SciCodecoding
claude-sonnet-4-5—
gpt-542.9%
MMLU Proknowledge
claude-sonnet-4-5—
gpt-587.1%
Humanity's Last Examreasoning
claude-sonnet-4-5—
gpt-526.5%
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-sonnet-4-5 | gpt-5 | |
|---|---|---|
| Input price / 1M | $3.00 | $1.25 |
| Output price / 1M | $15.00 | $10.00 |
| Context window | 1M tokens | 400K tokens |
| Max output | 64K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | Yes | — |
| Provider | Anthropic PBC | OpenAI Inc. |
Questions people ask
Is claude-sonnet-4-5 better than gpt-5?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper — claude-sonnet-4-5 or gpt-5?
gpt-5 is cheaper. claude-sonnet-4-5 costs $3.00/$15.00 per 1M input/output tokens, while gpt-5 costs $1.25/$10.00.
Can I use claude-sonnet-4-5 and gpt-5 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-sonnet-4-5" or "openai/gpt-5" — no other code changes needed.
What are the context windows?
claude-sonnet-4-5 supports up to 1M tokens of context. gpt-5 supports up to 400K 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-sonnet-4-5 and gpt-5 with one line of code
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