AI model comparison
Hermes 4 405B vs Mixtral 8x22B Instruct
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Nous
Hermes 4 405B
Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research.
- Input / 1M
- $1
- Output / 1M
- $3
- Context
- 131K
Mistral
Mixtral 8x22B Instruct
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 66K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Hermes 4 405B
2x cheaper for a typical chat
Higher intelligence score
Hermes 4 405B
7.5 vs 5.7 on Artificial Analysis
Larger context window
Hermes 4 405B
131K vs 66K tokens
Newer release
Hermes 4 405B
Released August 26, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Hermes 4 405B7.5Mixtral 8x22B Instruct5.7Coding index
Hermes 4 405BNot availableMixtral 8x22B InstructNot availableAgentic index
Hermes 4 405BNot availableMixtral 8x22B InstructNot availablePricing
Hermes 4 405B vs Mixtral 8x22B Instruct API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Hermes 4 405B | Mixtral 8x22B Instruct |
|---|---|---|
| Input tokensPer 1M tokens | $1 | $2 |
| Output tokensPer 1M tokens | $3 | $6 |
| Cached input (read)Per 1M tokens | Not available | $0.20 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Hermes 4 405B$3.50Mixtral 8x22B Instruct$7Coding task
30K in, 4K out
Hermes 4 405B$42Mixtral 8x22B Instruct$84$30 cachedLong document summary
150K in, 2K out
Hermes 4 405B$156Mixtral 8x22B Instruct$312$42 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Hermes 4 405B | Mixtral 8x22B Instruct |
|---|---|---|
| Context window | 131K tokens | 66K tokens |
| Max output | 118K tokens | 52K tokens |
| Input types | Text | File, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | August 26, 2025 | April 17, 2024 |
Features
Supported features
API features available for each model.
| Metric | Hermes 4 405B | Mixtral 8x22B Instruct |
|---|---|---|
| Tool calling | Not supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Hermes 4 405BView full model details- Hermes 4 405B vs GPT-4.1 Mini
- Hermes 4 405B vs Qwen3 VL 235B A22B Instruct
- Hermes 4 405B vs Mistral Medium 3.1
- Hermes 4 405B vs Mistral Medium 3
- Hermes 4 405B vs Devstral 2 2512
- Hermes 4 405B vs GLM 4.5V
- Hermes 4 405B vs Mistral Large 2407
- Hermes 4 405B vs Hermes 3 405B Instruct
- Hermes 4 405B vs Nova Pro 1.0
- Hermes 4 405B vs Hermes 3 70B Instruct
- Hermes 4 405B vs Mistral Large
Mixtral 8x22B InstructView full model details- Mixtral 8x22B Instruct vs Mistral Medium 3.1
- Mixtral 8x22B Instruct vs Mistral Medium 3
- Mixtral 8x22B Instruct vs Devstral 2 2512
- Mixtral 8x22B Instruct vs GPT-4o (2024-11-20)
- Mixtral 8x22B Instruct vs GPT-4o (2024-08-06)
- Mixtral 8x22B Instruct vs Sonar Pro
- Mixtral 8x22B Instruct vs Mistral Large 2407
- Mixtral 8x22B Instruct vs GPT-4o (2024-05-13)
- Mixtral 8x22B Instruct vs Nova Pro 1.0
- Mixtral 8x22B Instruct vs GPT-4 Turbo
- Mixtral 8x22B Instruct vs Mistral Large
Our take
Hermes 4 405B is 2x cheaper for a typical chat. Hermes 4 405B scores higher on the Artificial Analysis Intelligence Index (7.5 vs 5.7). Hermes 4 405B has the larger context window (131K vs 66K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Hermes 4 405B or Mixtral 8x22B Instruct cheaper?
Hermes 4 405B is cheaper for a typical chat (2K input tokens and 500 output tokens). Hermes 4 405B costs $1 per 1M input tokens and $3 per 1M output tokens, while Mixtral 8x22B Instruct costs $2 per 1M input tokens and $6 per 1M output tokens.
Which has a bigger context window, Hermes 4 405B or Mixtral 8x22B Instruct?
Hermes 4 405B supports up to 131K tokens of context, compared with 66K for Mixtral 8x22B Instruct.
Is Hermes 4 405B smarter than Mixtral 8x22B Instruct?
On the Artificial Analysis Intelligence Index, Hermes 4 405B scores 7.5 and Mixtral 8x22B Instruct scores 5.7, putting Hermes 4 405B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Hermes 4 405B and Mixtral 8x22B Instruct at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Hermes 4 405B and Mixtral 8x22B Instruct answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Hermes 4 405B and Mixtral 8x22B Instruct at the same time. Compare the answers side by side and keep the best one.