Kimi K2 Thinking vs DeepSeek V3.1 Terminus (Reasoning)
Comparing 2 AI models · 5 benchmarks · Moonshot AI, DeepSeek
Most Affordable
De
DeepSeek V3.1 Terminus (Reasoning)
$0.40/1M
Highest Intelligence
Mo
Kimi K2 Thinking
83.8% GPQA
Best for Coding
Mo
Kimi K2 Thinking
52.2 Coding Index
Price Difference
1.5x
input cost range
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Winners
5 tests
Mo
Kimi K2 Thinking
4
- GPQA
- HLE
- LiveCodeBench
- AIME 2025
De
DeepSeek V3.1 Terminus (Reasoning)
1
- MMLU Pro
| Metric | Mo Kimi K2 Thinking | De DeepSeek V3.1 Terminus (Reasoning) |
|---|---|---|
| Pricing Per 1M tokens | ||
| Input Cost | $0.60/1M | $0.40/1M |
| Output Cost | $2.50/1M | $2.00/1M |
| Blended Cost 3:1 input/output ratio | $1.07/1M | $0.80/1M |
| Specifications | ||
| Organization Model creator | Moonshot AI | DeepSeek |
| Release Date Launch date | Nov 6, 2025 | Sep 22, 2025 |
| Performance & Speed | ||
| Throughput Output speed | 78.7 tok/s | — |
| Time to First Token (TTFT) Initial response delay | 816ms | — |
| Latency Time to first answer token | 26232ms | — |
| Composite Indices | ||
| Intelligence Index Overall reasoning capability | 67.0 | 57.7 |
| Coding Index Programming ability | 52.2 | 49.6 |
| Math Index Mathematical reasoning | 94.7 | 89.7 |
| Standard Benchmarks | ||
| GPQA Graduate-level reasoning | 83.8% | 79.2% |
| MMLU Pro Advanced knowledge | 84.8% | 85.1% |
| HLE Hard language evaluation | 22.3% | 15.2% |
| LiveCodeBench Real-world coding tasks | 85.3% | 79.8% |
| MATH 500 Mathematical problems | — | — |
| AIME 2025 Advanced math competition | 94.7% | 89.7% |
| AIME (Original) Math olympiad problems | — | — |
| SciCode Scientific code generation | 42.4% | 40.6% |
| LCR Code review capability | 66.3% | 65.0% |
| IFBench Instruction-following | 68.1% | 57.0% |
| TAU-bench v2 Tool use & agentic tasks | 93.0% | 37.1% |
| TerminalBench Hard CLI command generation | 29.1% | 28.4% |
Key Takeaways
DeepSeek V3.1 Terminus (Reasoning) offers the best value at $0.40/1M, making it ideal for high-volume applications and cost-conscious projects.
Kimi K2 Thinking leads in reasoning capabilities with a 83.8% GPQA score, excelling at complex analytical tasks and problem-solving.
Kimi K2 Thinking achieves a 52.2 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
Mo
Kimi K2 Thinking
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
De
DeepSeek V3.1 Terminus (Reasoning)
- Cost-sensitive applications
- High-volume processing