Model Comparison
Kimi K2 Thinking
vs. Gemini 3.1 Pro Preview
Comparing 2 AI models · 10 benchmarks · MoonshotAI, Google
Recommended Pick
Go Gemini 3.1 Pro Preview 10 metric wins Strongest on: Throughput, Intelligence, Coding
Best Value
Kimi K2 Thinking
100.0 value score
67.3 reasoning / $1.07/1M
Lowest Price
Kimi K2 Thinking
$0.60/1M input price
Best Reasoning
Kimi K2 Thinking
67.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Pro Preview
55.5 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
Kimi K2 Thinking has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Kimi K2 Thinking is 3.3x cheaper on input tokens than Gemini 3.1 Pro Preview.
Reasoning gap
Kimi K2 Thinking leads Gemini 3.1 Pro Preview by 1.9 points on reasoning.
Coding gap
Gemini 3.1 Pro Preview leads Kimi K2 Thinking by 20.7 points on coding.
Top-pick rationale
Gemini 3.1 Pro Preview wins 10 measurable categories, including Throughput, Intelligence, Coding, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Kimi K2 Thinking
MoonshotAI
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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Gemini 3.1 Pro Preview
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Mo Kimi K2 Thinking | Top Pick Go Gemini 3.1 Pro Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.60/1M | $2.00/1M |
| Output Cost | $2.50/1M | $12.00/1M |
| Blended (3:1) | $1.07/1M | $4.50/1M |
| Specifications | ||
| Organization | MoonshotAI | |
| Release Date | Nov 6, 2025 | Feb 19, 2026 |
| Performance & Speed | ||
| Throughput | 128.5 tok/s | 131.4 tok/s |
| TTFT | 911ms | 26995ms |
| Latency | 16472ms | 26995ms |
| Composite Indices | ||
| Value Score | 100.0 | 23.2 |
| Reasoning Score | 67.3 | 65.3 |
| Intelligence | 40.9 | 57.2 |
| Coding | 34.8 | 55.5 |
| Math | 94.7 | — |
| Standard Benchmarks | ||
| GPQA | 83.8% | 94.1% |
| MMLU Pro | 84.8% | — |
| HLE | 22.3% | 44.7% |
| LiveCodeBench | 85.3% | — |
| AIME 2025 | 94.7% | — |
| SciCode | 42.4% | 58.9% |
| LCR | 66.3% | 72.7% |
| IFBench | 68.1% | 77.1% |
| TAU-bench v2 | 93.0% | 95.6% |
| TerminalBench Hard | 31.1% | 53.8% |
Key Takeaways
Kimi K2 Thinking offers the best value at $0.60/1M, making it ideal for high-volume applications and cost-conscious projects.
Kimi K2 Thinking has the strongest reasoning profile with a 67.3 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 3.1 Pro Preview reaches a 55.5 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
Kimi K2 Thinking
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Gemini 3.1 Pro Preview
- Code generation
- Software development
