claude-opus-4-7 vs kimi-k2.6
Side-by-side comparison of claude-opus-4-7 and kimi-k2.6: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. claude-opus-4-7 outperforms kimi-k2.6 on 6 of 7 shared benchmarks.
claude-opus-4-7
Input / 1M
$5.00
Output / 1M
$25.00
Context
1M
Model ID
anthropic/claude-opus-4-7
kimi-k2.6
Input / 1M
$0.95
Output / 1M
$4.00
Context
262K
Model ID
moonshot/kimi-k2.6
Benchmark comparison
Intelligence Indexreasoning
claude-opus-4-753.5%
kimi-k2.644.2%
Coding Indexcoding
claude-opus-4-773.6%
kimi-k2.661.8%
GPQA Diamondreasoning
claude-opus-4-791.4%
kimi-k2.691.1%
Terminal-Bench Hardagentic
claude-opus-4-751.5%
kimi-k2.643.9%
τ²-Benchagentic
claude-opus-4-788.6%
kimi-k2.695.9%
SciCodecoding
claude-opus-4-754.5%
kimi-k2.653.5%
Humanity's Last Examreasoning
claude-opus-4-739.6%
kimi-k2.635.9%
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-k2.6 | |
|---|---|---|
| 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-k2.6?
claude-opus-4-7 outperforms kimi-k2.6 on 6 of 7 shared benchmarks. See the benchmark comparison above for specifics: claude-opus-4-7 and kimi-k2.6 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-opus-4-7 or kimi-k2.6?
kimi-k2.6 is cheaper. claude-opus-4-7 costs $5.00/$25.00 per 1M input/output tokens, while kimi-k2.6 costs $0.95/$4.00.
Can I use claude-opus-4-7 and kimi-k2.6 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-k2.6", no other code changes needed.
What are the context windows?
claude-opus-4-7 supports up to 1M tokens of context. kimi-k2.6 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-k2.6 with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.