Model Comparison
Gemini 3.1 Flash-Lite
vs. Kimi K2
Comparing 2 AI models · 12 benchmarks · Google, MoonshotAI
Recommended Pick
Go Gemini 3.1 Flash-Lite 13 metric wins Strongest on: Value, Input price, Output price
Best Value
Gemini 3.1 Flash-Lite
100.0 value score
44.0 reasoning / $0.56/1M
Lowest Price
Gemini 3.1 Flash-Lite
$0.25/1M input price
Best Reasoning
Kimi K2
55.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Flash-Lite
30.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Gemini 3.1 Flash-Lite has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemini 3.1 Flash-Lite is 2.3x cheaper on input tokens than Kimi K2.
Speed gap
Gemini 3.1 Flash-Lite generates about 13x as many tokens per second as Kimi K2.
Reasoning gap
Kimi K2 leads Gemini 3.1 Flash-Lite by 11.8 points on reasoning.
Coding gap
Gemini 3.1 Flash-Lite leads Kimi K2 by 8.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 3.1 Flash-Lite
TTFT
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Time
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tok/s
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Tokens
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Cost
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Kimi K2
MoonshotAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick Go Gemini 3.1 Flash-Lite | Mo Kimi K2 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.25/1M | $0.58/1M |
| Output Cost | $1.50/1M | $2.40/1M |
| Blended (3:1) | $0.56/1M | $1.04/1M |
| Specifications | ||
| Organization | MoonshotAI | |
| Release Date | Mar 3, 2026 | Jul 11, 2025 |
| Performance & Speed | ||
| Throughput | 317.8 tok/s | 24.4 tok/s |
| TTFT | 5261ms | 1537ms |
| Latency | 5261ms | 1537ms |
| Composite Indices | ||
| Value Score | 100.0 | 68.7 |
| Reasoning Score | 44.0 | 55.8 |
| Intelligence | 33.5 | 26.3 |
| Coding | 30.1 | 22.1 |
| Math | — | 57.0 |
| Standard Benchmarks | ||
| GPQA | 82.2% | 76.6% |
| MMLU Pro | — | 82.4% |
| HLE | 16.2% | 7.0% |
| LiveCodeBench | — | 55.6% |
| MATH 500 | — | 97.1% |
| AIME 2025 | — | 57.0% |
| AIME (Original) | — | 69.3% |
| SciCode | 41.9% | 34.5% |
| LCR | 65.3% | 51.0% |
| IFBench | 77.2% | 41.5% |
| TAU-bench v2 | 31.3% | 61.1% |
| TerminalBench Hard | 24.2% | 15.9% |
Key Takeaways
Gemini 3.1 Flash-Lite offers the best value at $0.25/1M, making it ideal for high-volume applications and cost-conscious projects.
Kimi K2 has the strongest reasoning profile with a 55.8 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 3.1 Flash-Lite reaches a 30.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Gemini 3.1 Flash-Lite
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
Kimi K2
- Complex reasoning tasks
- Research & analysis
