Model Comparison
Gemini 1.0 Pro
vs. Kimi K2
Comparing 2 AI models · 12 benchmarks · Google, MoonshotAI
Recommended Pick
Mo Kimi K2 10 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
Gemini 1.0 Pro
$0.00/1M input price
Best Reasoning
Kimi K2
55.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Kimi K2
22.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
Gemini 1.0 Pro is ∞x cheaper on input tokens than Kimi K2.
Reasoning gap
Kimi K2 leads Gemini 1.0 Pro by 39.4 points on reasoning.
Top-pick rationale
Kimi K2 wins 10 measurable categories, including Throughput, Reasoning, Intelligence, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 1.0 Pro
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Kimi K2
MoonshotAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Go Gemini 1.0 Pro | Top Pick Mo Kimi K2 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $0.58/1M |
| Output Cost | $0.00/1M | $2.40/1M |
| Blended (3:1) | — | $1.04/1M |
| Specifications | ||
| Organization | MoonshotAI | |
| Release Date | Dec 6, 2023 | Jul 11, 2025 |
| Performance & Speed | ||
| Throughput | — | 24.2 tok/s |
| TTFT | — | 1451ms |
| Latency | — | 1451ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 16.3 | 55.8 |
| Intelligence | 8.5 | 26.3 |
| Coding | — | 22.1 |
| Math | — | 57.0 |
| Standard Benchmarks | ||
| GPQA | 27.7% | 76.6% |
| MMLU Pro | 43.1% | 82.4% |
| HLE | 4.6% | 7.0% |
| LiveCodeBench | 11.6% | 55.6% |
| MATH 500 | 40.3% | 97.1% |
| AIME 2025 | — | 57.0% |
| AIME (Original) | 0.7% | 69.3% |
| SciCode | 11.7% | 34.5% |
| LCR | — | 51.0% |
| IFBench | — | 41.5% |
| TAU-bench v2 | — | 61.1% |
| TerminalBench Hard | — | 15.9% |
Key Takeaways
Gemini 1.0 Pro offers the best value at $0.00/1M, 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.
Kimi K2 reaches a 22.1 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 1.0 Pro
- Cost-sensitive applications
- High-volume processing
Kimi K2
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
