claude-opus-4-8 vs kimi-k2.5
Side-by-side comparison of claude-opus-4-8 and kimi-k2.5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. claude-opus-4-8 outperforms kimi-k2.5 on 5 of 6 shared benchmarks.
claude-opus-4-8
Input / 1M
$5.00
Output / 1M
$25.00
Context
1M
Model ID
anthropic/claude-opus-4-8
kimi-k2.5
Input / 1M
$0.60
Output / 1M
$3.00
Context
262K
Model ID
moonshot/kimi-k2.5
Benchmark comparison
Intelligence Indexreasoning
claude-opus-4-847.8%
kimi-k2.527.6%
Coding Indexcoding
claude-opus-4-874.3%
kimi-k2.546.8%
GPQA Diamondreasoning
claude-opus-4-892.0%
kimi-k2.587.9%
Terminal-Bench Hardagentic
claude-opus-4-858.3%
kimi-k2.534.8%
τ²-Benchagentic
claude-opus-4-894.4%
kimi-k2.595.9%
SciCodecoding
claude-opus-4-854.4%
kimi-k2.5N/A
Humanity's Last Examreasoning
claude-opus-4-848.7%
kimi-k2.530.7%
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-4-8 | kimi-k2.5 | |
|---|---|---|
| Input price / 1M | $5.00 | $0.60 |
| Output price / 1M | $25.00 | $3.00 |
| 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-4-8 better than kimi-k2.5?
claude-opus-4-8 outperforms kimi-k2.5 on 5 of 6 shared benchmarks. See the benchmark comparison above for specifics: claude-opus-4-8 and kimi-k2.5 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-opus-4-8 or kimi-k2.5?
kimi-k2.5 is cheaper. claude-opus-4-8 costs $5.00/$25.00 per 1M input/output tokens, while kimi-k2.5 costs $0.60/$3.00.
Can I use claude-opus-4-8 and kimi-k2.5 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-4-8" and "moonshot/kimi-k2.5", no other code changes needed.
What are the context windows?
claude-opus-4-8 supports up to 1M tokens of context. kimi-k2.5 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-4-8 and kimi-k2.5 with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.