Head-to-head · multimodal vs multimodal

Gemini 3 Flash vs Kimi K2 Chat: which model should you choose?

We compared Gemini 3 Flash and Kimi K2 Chat on price, context window and 12 benchmarks. Gemini 3 Flash has the stronger average benchmark score; Kimi K2 Chat is cheaper on a blended 3:1 basis.

Google DeepMind

Gemini 3 Flash

Gemini 3 Flash is a multimodal model from Google DeepMind. It offers a 128,000-token context window, costs $15.67 per million input tokens and $70.15 per million output tokens, and averages 83.6 across the index's benchmark suite.

Input
$15.67 / 1M
Output
$70.15 / 1M
Context
128,000
Avg score
83.6
Open weights
No
Full Gemini 3 Flash page
Moonshot AI

Kimi K2 Chat

Kimi K2 Chat is a multimodal model from Moonshot AI. It offers a 400,000-token context window, costs $5.74 per million input tokens and $22.24 per million output tokens, and averages 82.1 across the index's benchmark suite.

Input
$5.74 / 1M
Output
$22.24 / 1M
Context
400,000
Avg score
82.1
Open weights
Yes
Full Kimi K2 Chat page

Specification comparison

SpecGemini 3 FlashKimi K2 ChatEdge
Input price / 1M$15.67$5.74B
Output price / 1M$70.15$22.24B
Context window128,000400,000B
Max output65,5364,096A
Average score83.682.1A
Arena Elo1450.71445.6A
Open weightsNoYesB

Benchmark comparison

Gemini 3 Flash wins 9, Kimi K2 Chat wins 3, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkGemini 3 FlashKimi K2 ChatGapWinner
MMLU-Pro83.782.71.0Gemini 3 Flash
GPQA Diamond80.377.42.9Gemini 3 Flash
SWE-bench Verified72.570.02.5Gemini 3 Flash
HumanEval86.288.11.9Kimi K2 Chat
MATH-50089.084.84.2Gemini 3 Flash
AIME 202584.584.10.4Gemini 3 Flash
LiveCodeBench79.374.54.8Gemini 3 Flash
IFEval91.088.03.0Gemini 3 Flash
TruthfulQA84.882.82.0Gemini 3 Flash
HellaSwag89.891.61.8Kimi K2 Chat
MMMU78.279.61.4Kimi K2 Chat
Arena Elo1450.71445.65.1Gemini 3 Flash

Price analysis

On a blended 3:1 input-to-output basis, Gemini 3 Flash costs about $29.29 per million tokens and Kimi K2 Chat costs about $9.86. Kimi K2 Chat is roughly 66% cheaper than Gemini 3 Flash. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

Kimi K2 Chat has the larger context window at 400,000 tokens, compared with 128,000 for Gemini 3 Flash. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, Gemini 3 Flash wins 9, Kimi K2 Chat wins 3, and 0 are tied. On the index average, Gemini 3 Flash leads Kimi K2 Chat by 1.5 points (83.6 versus 82.1).

The price picture favours Kimi K2 Chat. The context picture favours Kimi K2 Chat. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with Gemini 3 Flash for quality-sensitive work and Kimi K2 Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Choose Gemini 3 Flash if

  • You want the higher average benchmark score in this index.
  • You need the larger 65,536-token output limit.

Choose Kimi K2 Chat if

  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 400,000-token context window.
  • You need open weights for self-hosting or fine-tuning.

FAQ

Is Gemini 3 Flash better than Kimi K2 Chat?

On the index average, Gemini 3 Flash leads Kimi K2 Chat by 1.5 points (83.6 versus 82.1). The better choice depends on price, context and your task. Gemini 3 Flash wins 9 benchmarks, Kimi K2 Chat wins 3.

Which is cheaper, Gemini 3 Flash or Kimi K2 Chat?

Kimi K2 Chat is cheaper on a blended 3:1 basis at about $9.86 per million tokens, versus $29.29 for Gemini 3 Flash.

Which has the larger context window?

Kimi K2 Chat has the larger context window at 400,000 tokens. Gemini 3 Flash has 128,000 tokens.

Are these models open weights?

Gemini 3 Flash is proprietary; Kimi K2 Chat is open weights.

Which should I choose for production?

If you need a single default, start with Gemini 3 Flash for quality-sensitive work and Kimi K2 Chat for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.

Related comparisons