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claude-opus-4-7 vs kimi-k2

Side-by-side comparison of claude-opus-4-7 and kimi-k2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. claude-opus-4-7 outperforms kimi-k2 on 5 of 6 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
claude-opus-4-753.5%
kimi-k232.7%
Coding Indexcoding
claude-opus-4-773.6%
kimi-k2N/A
Math Indexmath
claude-opus-4-7N/A
kimi-k294.7%
GPQA Diamondreasoning
claude-opus-4-791.4%
kimi-k283.8%
AIME 2025math
claude-opus-4-7N/A
kimi-k294.7%
LiveCodeBenchcoding
claude-opus-4-7N/A
kimi-k285.3%
Terminal-Bench Hardagentic
claude-opus-4-751.5%
kimi-k231.1%
τ²-Benchagentic
claude-opus-4-788.6%
kimi-k293.0%
SciCodecoding
claude-opus-4-754.5%
kimi-k242.4%
MMLU Proknowledge
claude-opus-4-7N/A
kimi-k284.8%
Humanity's Last Examreasoning
claude-opus-4-739.6%
kimi-k222.3%

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-4-7kimi-k2
Input price / 1M$5.00$0.60
Output price / 1M$25.00$2.50
Context window1M tokens262K tokens
Max output128K tokens262K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYesN/A
ProviderAnthropic PBCGoogle LLC (Vertex AI)

Questions people ask

Is claude-opus-4-7 better than kimi-k2?
claude-opus-4-7 outperforms kimi-k2 on 5 of 6 shared benchmarks. See the benchmark comparison above for specifics: claude-opus-4-7 and kimi-k2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-opus-4-7 or kimi-k2?
kimi-k2 is cheaper. claude-opus-4-7 costs $5.00/$25.00 per 1M input/output tokens, while kimi-k2 costs $0.60/$2.50.
Can I use claude-opus-4-7 and kimi-k2 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 "vertex/kimi-k2", no other code changes needed.
What are the context windows?
claude-opus-4-7 supports up to 1M tokens of context. kimi-k2 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 with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.