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kimi-k2.7-code vs gpt-5.4

Side-by-side comparison of kimi-k2.7-code and gpt-5.4: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

Intelligence Indexreasoning
kimi-k2.7-codeN/A
gpt-5.456.8%
Coding Indexcoding
kimi-k2.7-codeN/A
gpt-5.457.2%
GPQA Diamondreasoning
kimi-k2.7-codeN/A
gpt-5.492.0%
Terminal-Bench Hardagentic
kimi-k2.7-codeN/A
gpt-5.457.6%
τ²-Benchagentic
kimi-k2.7-codeN/A
gpt-5.487.1%
SciCodecoding
kimi-k2.7-codeN/A
gpt-5.456.6%
Humanity's Last Examreasoning
kimi-k2.7-codeN/A
gpt-5.441.6%

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

kimi-k2.7-codegpt-5.4
Input price / 1M$0.95$2.50
Output price / 1M$4.00$15.00
Context window262K tokens1.1M tokens
Max output262K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderMoonshot AIOpenAI Inc.

Questions people ask

Is kimi-k2.7-code better than gpt-5.4?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, kimi-k2.7-code or gpt-5.4?
kimi-k2.7-code is cheaper. kimi-k2.7-code costs $0.95/$4.00 per 1M input/output tokens, while gpt-5.4 costs $2.50/$15.00.
Can I use kimi-k2.7-code and gpt-5.4 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "moonshot/kimi-k2.7-code" and "openai/gpt-5.4", no other code changes needed.
What are the context windows?
kimi-k2.7-code supports up to 262K tokens of context. gpt-5.4 supports up to 1.1M 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 kimi-k2.7-code and gpt-5.4 with one line of code

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