claude-sonnet-5 vs kimi-k2.7-code
Side-by-side comparison of claude-sonnet-5 and kimi-k2.7-code: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. claude-sonnet-5 outperforms kimi-k2.7-code on 5 of 5 shared benchmarks.
claude-sonnet-5
Input / 1M
$2.00
Output / 1M
$10.00
Context
1M
Model ID
anthropic/claude-sonnet-5
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-sonnet-553.4%
kimi-k2.7-code41.9%
Coding Indexcoding
claude-sonnet-571.5%
kimi-k2.7-code60.8%
GPQA Diamondreasoning
claude-sonnet-591.1%
kimi-k2.7-code89.6%
Terminal-Bench Hardagentic
claude-sonnet-5N/A
kimi-k2.7-code44.7%
τ²-Benchagentic
claude-sonnet-5N/A
kimi-k2.7-code90.1%
SciCodecoding
claude-sonnet-553.6%
kimi-k2.7-code47.5%
Humanity's Last Examreasoning
claude-sonnet-539.6%
kimi-k2.7-code32.8%
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-5 | kimi-k2.7-code | |
|---|---|---|
| Input price / 1M | $2.00 | $0.95 |
| Output price / 1M | $10.00 | $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-sonnet-5 better than kimi-k2.7-code?
claude-sonnet-5 outperforms kimi-k2.7-code on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: claude-sonnet-5 and kimi-k2.7-code have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-sonnet-5 or kimi-k2.7-code?
kimi-k2.7-code is cheaper. claude-sonnet-5 costs $2.00/$10.00 per 1M input/output tokens, while kimi-k2.7-code costs $0.95/$4.00.
Can I use claude-sonnet-5 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-sonnet-5" and "moonshot/kimi-k2.7-code", no other code changes needed.
What are the context windows?
claude-sonnet-5 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-sonnet-5 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.