claude-opus-4-7 vs kimi-k2.7-code
Side-by-side comparison of claude-opus-4-7 and kimi-k2.7-code: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.
claude-opus-4-7
Input / 1M
$5.00
Output / 1M
$25.00
Context
1M
Model ID
anthropic/claude-opus-4-7
kimi-k2.7-code
Input / 1M
$0.95
Output / 1M
$4.00
Context
262K
Model ID
moonshot/kimi-k2.7-code
Benchmark comparison
Intelligence Indexreasoning
claude-opus-4-757.3%
kimi-k2.7-codeN/A
Coding Indexcoding
claude-opus-4-752.5%
kimi-k2.7-codeN/A
GPQA Diamondreasoning
claude-opus-4-791.4%
kimi-k2.7-codeN/A
Terminal-Bench Hardagentic
claude-opus-4-751.5%
kimi-k2.7-codeN/A
τ²-Benchagentic
claude-opus-4-788.6%
kimi-k2.7-codeN/A
SciCodecoding
claude-opus-4-754.5%
kimi-k2.7-codeN/A
Humanity's Last Examreasoning
claude-opus-4-739.6%
kimi-k2.7-codeN/A
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-4-7 | kimi-k2.7-code | |
|---|---|---|
| Input price / 1M | $5.00 | $0.95 |
| Output price / 1M | $25.00 | $4.00 |
| Context window | 1M tokens | 262K tokens |
| Max output | 128K tokens | 262K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | Yes | N/A |
| Provider | Anthropic PBC | Moonshot AI |
Questions people ask
Is claude-opus-4-7 better than kimi-k2.7-code?
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-opus-4-7 or kimi-k2.7-code?
kimi-k2.7-code is cheaper. claude-opus-4-7 costs $5.00/$25.00 per 1M input/output tokens, while kimi-k2.7-code costs $0.95/$4.00.
Can I use claude-opus-4-7 and kimi-k2.7-code through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "anthropic/claude-opus-4-7" and "moonshot/kimi-k2.7-code", no other code changes needed.
What are the context windows?
claude-opus-4-7 supports up to 1M tokens of context. kimi-k2.7-code supports up to 262K 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 kimi-k2.7-code with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.
Get started free