Model Comparison
Hermes 4 - Llama-3.1 405B (Reasoning)
vs. Qwen3 8B (Non-reasoning)
Comparing 2 AI models · 12 benchmarks · Nous Research, Alibaba
Recommended Pick
No Hermes 4 - Llama-3.1 405B (Reasoning) 14 metric wins Strongest on: TTFT, Reasoning, Intelligence
Best Value
Qwen3 8B (Non-reasoning)
100.0 value score
30.6 reasoning / $0.18/1M
Lowest Price
Qwen3 8B (Non-reasoning)
$0.18/1M input price
Best Reasoning
Hermes 4 - Llama-3.1 405B (Reasoning)
48.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
Hermes 4 - Llama-3.1 405B (Reasoning)
16.0 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
Qwen3 8B (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 8B (Non-reasoning) is 5.6x cheaper on input tokens than Hermes 4 - Llama-3.1 405B (Reasoning).
Speed gap
Qwen3 8B (Non-reasoning) generates about 1.5x as many tokens per second as Hermes 4 - Llama-3.1 405B (Reasoning).
Reasoning gap
Hermes 4 - Llama-3.1 405B (Reasoning) leads Qwen3 8B (Non-reasoning) by 17.6 points on reasoning.
Coding gap
Hermes 4 - Llama-3.1 405B (Reasoning) leads Qwen3 8B (Non-reasoning) by 8.9 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 405B (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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Qwen3 8B (Non-reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick No Hermes 4 - Llama-3.1 405B (Reasoning) | Al Qwen3 8B (Non-reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $1.00/1M | $0.18/1M |
| Output Cost | $3.00/1M | $0.20/1M |
| Blended (3:1) | $1.50/1M | $0.18/1M |
| Specifications | ||
| Organization | Nous Research | Alibaba |
| Release Date | Aug 27, 2025 | Apr 28, 2025 |
| Performance & Speed | ||
| Throughput | 41.4 tok/s | 63.7 tok/s |
| TTFT | 773ms | 1370ms |
| Latency | 49104ms | 1370ms |
| Composite Indices | ||
| Value Score | 19.4 | 100.0 |
| Reasoning Score | 48.2 | 30.6 |
| Intelligence | 18.6 | 10.6 |
| Coding | 16.0 | 7.1 |
| Math | 69.7 | 24.3 |
| Standard Benchmarks | ||
| GPQA | 72.7% | 45.2% |
| MMLU Pro | 82.9% | 64.3% |
| HLE | 10.3% | 2.8% |
| LiveCodeBench | 68.6% | 20.2% |
| MATH 500 | — | 82.8% |
| AIME 2025 | 69.7% | 24.3% |
| AIME (Original) | — | 24.3% |
| SciCode | 25.2% | 16.8% |
| LCR | 20.7% | 0.0% |
| IFBench | 32.7% | 28.6% |
| TAU-bench v2 | 22.2% | 24.9% |
| TerminalBench Hard | 11.4% | 2.3% |
Key Takeaways
Qwen3 8B (Non-reasoning) offers the best value at $0.18/1M, making it ideal for high-volume applications and cost-conscious projects.
Hermes 4 - Llama-3.1 405B (Reasoning) has the strongest reasoning profile with a 48.2 reasoning score, combining the available reasoning-heavy benchmarks.
Hermes 4 - Llama-3.1 405B (Reasoning) reaches a 16.0 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 405B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Qwen3 8B (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
