Hermes 4 - Llama-3.1 405B (Reasoning) vs Apriel-v1.5-15B-Thinker
Comparing 2 AI models · 5 benchmarks · Nous Research, ServiceNow
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Winners
Hermes 4 - Llama-3.1 405B (Reasoning)
- GPQA
- MMLU Pro
Apriel-v1.5-15B-Thinker
- HLE
- LiveCodeBench
- AIME 2025
| Metric | No Hermes 4 - Llama-3.1 405B (Reasoning) | Se Apriel-v1.5-15B-Thinker |
|---|---|---|
| Pricing Per 1M tokens | ||
| Input Cost | $1.00/1M | $0.00/1M |
| Output Cost | $3.00/1M | $0.00/1M |
| Blended Cost 3:1 input/output ratio | $1.50/1M | — |
| Specifications | ||
| Organization Model creator | Nous Research | ServiceNow |
| Release Date Launch date | Aug 27, 2025 | Sep 30, 2025 |
| Performance & Speed | ||
| Throughput Output speed | 36.0 tok/s | 146.0 tok/s |
| Time to First Token (TTFT) Initial response delay | 756ms | 164ms |
| Latency Time to first answer token | 56268ms | 13867ms |
| Composite Indices | ||
| Intelligence Index Overall reasoning capability | 41.6 | 51.6 |
| Coding Index Programming ability | 34.8 | 39.2 |
| Math Index Mathematical reasoning | 69.7 | 87.5 |
| Standard Benchmarks | ||
| GPQA Graduate-level reasoning | 72.7% | 71.3% |
| MMLU Pro Advanced knowledge | 82.9% | 77.3% |
| HLE Hard language evaluation | 10.3% | 12.0% |
| LiveCodeBench Real-world coding tasks | 68.6% | 72.8% |
| MATH 500 Mathematical problems | — | — |
| AIME 2025 Advanced math competition | 69.7% | 87.5% |
| AIME (Original) Math olympiad problems | — | — |
| SciCode Scientific code generation | 25.2% | 34.8% |
| LCR Code review capability | 20.7% | 20.0% |
| IFBench Instruction-following | 32.7% | 61.7% |
| TAU-bench v2 Tool use & agentic tasks | 22.2% | 68.4% |
| TerminalBench Hard CLI command generation | 10.6% | 9.9% |
Key Takeaways
Apriel-v1.5-15B-Thinker offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Hermes 4 - Llama-3.1 405B (Reasoning) leads in reasoning capabilities with a 72.7% GPQA score, excelling at complex analytical tasks and problem-solving.
Apriel-v1.5-15B-Thinker achieves a 39.2 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
Hermes 4 - Llama-3.1 405B (Reasoning)
- Complex reasoning tasks
- Research & analysis
Apriel-v1.5-15B-Thinker
- Cost-sensitive applications
- High-volume processing
- Code generation
- Software development
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