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Gemini 2.5 Pro

VS
Moonshot AI (Kimi)

kimi-k2.6

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, kimi-k2.6 is the premium intelligence choice, scoring 58.6% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 Pro offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of kimi-k2.6 fully justifies the cost.

Model Specs

Gemini 2.5 Pro

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
84.4%

Cost & Performance

Cost (per 1M tokens)
$3.44Input: $1.25 | Output: $10.00
Speed
117 tps
Context WindowLarger
1M tokens
Model Specs

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
58.6%
Reasoning (gpqa-diamond)Winner (+6.1%)
90.5%

Cost & Performance

Cost (per 1M tokens)2.0x cheaper
$1.71Input: $0.95 | Output: $4.00
Speed1.6x faster
193 tps
Context Window
262.14k tokens
Read our data collection methodology

Frequently Asked Questions

kimi-k2.6 is cheaper than Gemini 2.5 Pro. kimi-k2.6 has a blended cost of $1.71/1M tokens, which is about 2.0x cheaper than Gemini 2.5 Pro at $3.44/1M tokens.

kimi-k2.6 is faster than Gemini 2.5 Pro. kimi-k2.6 generates 193 tokens per second (tps) compared to Gemini 2.5 Pro which generates 117 tokens per second.

kimi-k2.6 is better for coding tasks. It scores 58.6% on coding evaluations (swe-bench-pro) compared to Gemini 2.5 Pro which scores N/A.

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