Model Comparison
Gemini 2.5 Pro
vs. Kimi K2.5 (Reasoning)
Comparing 2 AI models · 12 benchmarks · Google, MoonshotAI
Recommended Pick
Mo Kimi K2.5 (Reasoning) 13 metric wins Strongest on: Value, Input price, Output price
Best Value
Kimi K2.5 (Reasoning)
100.0 value score
54.7 reasoning / $1.19/1M
Lowest Price
Kimi K2.5 (Reasoning)
$0.58/1M input price
Best Reasoning
Gemini 2.5 Pro
71.6 reasoning score
Blends available reasoning benchmarks
Best for Coding
Kimi K2.5 (Reasoning)
39.6 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 K2.5 (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Kimi K2.5 (Reasoning) is 2.2x cheaper on input tokens than Gemini 2.5 Pro.
Speed gap
Gemini 2.5 Pro generates about 3.0x as many tokens per second as Kimi K2.5 (Reasoning).
Reasoning gap
Gemini 2.5 Pro leads Kimi K2.5 (Reasoning) by 16.9 points on reasoning.
Coding gap
Kimi K2.5 (Reasoning) leads Gemini 2.5 Pro by 7.6 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 2.5 Pro
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 K2.5 (Reasoning)
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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Which answer was more useful?
Full Comparison
| Metric | Go Gemini 2.5 Pro | Top Pick Mo Kimi K2.5 (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.25/1M | $0.58/1M |
| Output Cost | $10.00/1M | $3.00/1M |
| Blended (3:1) | $3.44/1M | $1.19/1M |
| Specifications | ||
| Organization | MoonshotAI | |
| Release Date | Jun 5, 2025 | Jan 27, 2026 |
| Performance & Speed | ||
| Throughput | 132.3 tok/s | 44.7 tok/s |
| TTFT | 22150ms | 1234ms |
| Latency | 22150ms | 67568ms |
| Composite Indices | ||
| Value Score | 45.1 | 100.0 |
| Reasoning Score | 71.6 | 54.7 |
| Intelligence | 34.6 | 46.8 |
| Coding | 32.0 | 39.6 |
| Math | 87.7 | — |
| Standard Benchmarks | ||
| GPQA | 84.4% | 87.9% |
| MMLU Pro | 86.2% | — |
| HLE | 21.1% | 29.4% |
| LiveCodeBench | 80.1% | — |
| MATH 500 | 96.7% | — |
| AIME 2025 | 87.7% | — |
| AIME (Original) | 88.7% | — |
| SciCode | 42.8% | 49.0% |
| LCR | 66.0% | 65.3% |
| IFBench | 48.7% | 70.2% |
| TAU-bench v2 | 54.1% | 95.9% |
| TerminalBench Hard | 26.5% | 34.8% |
Key Takeaways
Kimi K2.5 (Reasoning) offers the best value at $0.58/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 2.5 Pro has the strongest reasoning profile with a 71.6 reasoning score, combining the available reasoning-heavy benchmarks.
Kimi K2.5 (Reasoning) reaches a 39.6 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 2.5 Pro
- Complex reasoning tasks
- Research & analysis
Kimi K2.5 (Reasoning)
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
