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Gemini 2.5 Flash-Lite

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. However, this accuracy premium comes with a cost overhead: Gemini 2.5 Flash-Lite is 9.8x cheaper to run and delivers 1.5x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemini 2.5 Flash-Lite 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 Flash-Lite

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
62.5%

Cost & Performance

Cost (per 1M tokens)9.8x cheaper
$0.17Input: $0.10 | Output: $0.40
Speed1.5x faster
280 tps
Context WindowLarger
1M tokens
Model Specs

kimi-k2.6

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
58.6%
Reasoning (gpqa-diamond)Winner (+28.0%)
90.5%

Cost & Performance

Cost (per 1M tokens)
$1.71Input: $0.95 | Output: $4.00
Speed
193 tps
Context Window
262.14k tokens

Frequently Asked Questions

Gemini 2.5 Flash-Lite is cheaper than kimi-k2.6. Gemini 2.5 Flash-Lite has a blended cost of $0.17/1M tokens, which is about 9.8x cheaper than kimi-k2.6 at $1.71/1M tokens.

Gemini 2.5 Flash-Lite is faster than kimi-k2.6. Gemini 2.5 Flash-Lite generates 280 tokens per second (tps) compared to kimi-k2.6 which generates 193 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 Flash-Lite which scores N/A.

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