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claude-sonnet-4-5 vs kimi-k2.5

Side-by-side comparison of claude-sonnet-4-5 and kimi-k2.5: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. kimi-k2.5 outperforms claude-sonnet-4-5 on 4 of 6 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
claude-sonnet-4-527.3%
kimi-k2.527.6%
Coding Indexcoding
claude-sonnet-4-552.1%
kimi-k2.546.8%
Math Indexmath
claude-sonnet-4-588.0%
kimi-k2.5N/A
GPQA Diamondreasoning
claude-sonnet-4-583.4%
kimi-k2.587.9%
AIME 2025math
claude-sonnet-4-588.0%
kimi-k2.5N/A
LiveCodeBenchcoding
claude-sonnet-4-571.4%
kimi-k2.5N/A
Terminal-Bench Hardagentic
claude-sonnet-4-535.6%
kimi-k2.534.8%
τ²-Benchagentic
claude-sonnet-4-578.1%
kimi-k2.595.9%
SciCodecoding
claude-sonnet-4-545.7%
kimi-k2.5N/A
MMLU Proknowledge
claude-sonnet-4-587.5%
kimi-k2.5N/A
Humanity's Last Examreasoning
claude-sonnet-4-517.8%
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-sonnet-4-5kimi-k2.5
Input price / 1M$3.00$0.60
Output price / 1M$15.00$3.00
Context window1M tokens262K tokens
Max output64K tokens262K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYesN/A
ProviderAnthropic PBCMoonshot AI

Questions people ask

Is claude-sonnet-4-5 better than kimi-k2.5?
kimi-k2.5 outperforms claude-sonnet-4-5 on 4 of 6 shared benchmarks. See the benchmark comparison above for specifics: claude-sonnet-4-5 and kimi-k2.5 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-sonnet-4-5 or kimi-k2.5?
kimi-k2.5 is cheaper. claude-sonnet-4-5 costs $3.00/$15.00 per 1M input/output tokens, while kimi-k2.5 costs $0.60/$3.00.
Can I use claude-sonnet-4-5 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-sonnet-4-5" and "moonshot/kimi-k2.5", no other code changes needed.
What are the context windows?
claude-sonnet-4-5 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-sonnet-4-5 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.