Hermes 3 405B Instruct vs Llama 4 Maverick
Detailed technical comparison between Hermes 3 405B Instruct (Nous Research) and Llama 4 Maverick (Meta). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Llama 4 Maverick
1,048,576 tokensTie
Equal CapabilityTie
Equal SpeedLlama 4 Maverick
$0.20 / MTokHermes 3 405B Instruct
Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the...
Llama 4 Maverick
Meta's next-generation open weights model. Delivers premium agentic capabilities, reasoning, and tool call compliance for local or self-hosted enterprise stacks.
Technical Specifications
🏆 = Superior Spec| Specification | Hermes 3 405B Instruct | Llama 4 Maverick |
|---|---|---|
| Provider | Nous Research | Meta |
| Context Window | 131,072 tokens | 1,048,576 tokens🏆 |
| Agent Suitability | N/A | 89/100 |
| Time to First Token (TTFT) | N/A | 300 ms |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-08-16 | 2026-05-25 |
API Pricing Comparison
Input Price per Million Tokens
Hermes 3 405B Instruct
$1.00
Llama 4 Maverick
$0.20
Output Price per Million Tokens
Hermes 3 405B Instruct
$1.00
Llama 4 Maverick
$0.80
💡 Cost Ratio: Llama 4 Maverick is 5.0x cheaper per input token than Hermes 3 405B Instruct.
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Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0–100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Hermes 3 405B Instruct Quirks & Gotchas
No developer gotchas reported.
Llama 4 Maverick Quirks & Gotchas
- ▸Self-hostable via Ollama/Docker — ideal for on-premise deployments
- ▸Requires specific system prompt for optimal function calling reliability
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