Model Comparison
Hermes 4 - Llama-3.1 70B (Reasoning)
vs. Kimi K2.6
Comparing 2 AI models · 10 benchmarks · Nous Research, MoonshotAI
Recommended Pick
Mo Kimi K2.6 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
Hermes 4 - Llama-3.1 70B (Reasoning)
100.0 value score
46.2 reasoning / $0.20/1M
Lowest Price
Hermes 4 - Llama-3.1 70B (Reasoning)
$0.13/1M input price
Best Reasoning
Kimi K2.6
60.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Kimi K2.6
47.1 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
Hermes 4 - Llama-3.1 70B (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Hermes 4 - Llama-3.1 70B (Reasoning) is 7.3x cheaper on input tokens than Kimi K2.6.
Speed gap
Hermes 4 - Llama-3.1 70B (Reasoning) generates about 2.6x as many tokens per second as Kimi K2.6.
Reasoning gap
Kimi K2.6 leads Hermes 4 - Llama-3.1 70B (Reasoning) by 14.1 points on reasoning.
Coding gap
Kimi K2.6 leads Hermes 4 - Llama-3.1 70B (Reasoning) by 32.7 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Hermes 4 - Llama-3.1 70B (Reasoning)
Nous Research
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 K2.6
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 | No Hermes 4 - Llama-3.1 70B (Reasoning) | Top Pick Mo Kimi K2.6 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.13/1M | $0.95/1M |
| Output Cost | $0.40/1M | $4.00/1M |
| Blended (3:1) | $0.20/1M | $1.71/1M |
| Specifications | ||
| Organization | Nous Research | MoonshotAI |
| Release Date | Aug 27, 2025 | Apr 20, 2026 |
| Performance & Speed | ||
| Throughput | 95.5 tok/s | 36.8 tok/s |
| TTFT | 610ms | 1087ms |
| Latency | 21562ms | 122029ms |
| Composite Indices | ||
| Value Score | 100.0 | 15.0 |
| Reasoning Score | 46.2 | 60.3 |
| Intelligence | 16.0 | 53.9 |
| Coding | 14.4 | 47.1 |
| Math | 68.7 | — |
| Standard Benchmarks | ||
| GPQA | 69.9% | 91.1% |
| MMLU Pro | 81.1% | — |
| HLE | 7.9% | 35.9% |
| LiveCodeBench | 65.3% | — |
| AIME 2025 | 68.7% | — |
| SciCode | 34.1% | 53.5% |
| LCR | 6.7% | 69.7% |
| IFBench | 31.3% | 76.0% |
| TAU-bench v2 | 22.5% | 95.9% |
| TerminalBench Hard | 4.5% | 43.9% |
Key Takeaways
Hermes 4 - Llama-3.1 70B (Reasoning) offers the best value at $0.13/1M, making it ideal for high-volume applications and cost-conscious projects.
Kimi K2.6 has the strongest reasoning profile with a 60.3 reasoning score, combining the available reasoning-heavy benchmarks.
Kimi K2.6 reaches a 47.1 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
Hermes 4 - Llama-3.1 70B (Reasoning)
- Cost-sensitive applications
- High-volume processing
Kimi K2.6
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
