Hermes 4 405B vs MiMo-V2-Pro
MiMo-V2-Pro comes out ahead, 42 to 35 on our weighted score.
Nous ResearchHermes 4 405B
35/100- ECI—
- Price$1.00 / $3.00
- Context131K
- Our pick
XiaomiMiMo-V2-Pro
42/100- ECI—
- Price$1.00 / $3.00
- Context1.05M
Add a model
Make it a three-way comparison.
MiMo-V2-Pro is our pick
MiMo-V2-Pro is the better all-round choice, scoring 42/100 against Hermes 4 405B (35). It leads on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSame priceHermes 4 405B $1.50 · MiMo-V2-Pro $1.50 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-ProMiMo-V2-Pro 1,048,576 · Hermes 4 405B 131,072 tokens
- Widest inputsSame inputsHermes 4 405B: Text · MiMo-V2-Pro: Text
- Self-hostingHermes 4 405BPublishes downloadable weights
| Measure | Weight | Hermes 4 405B | MiMo-V2-Pro |
|---|---|---|---|
| Price | 50% | 40 | 40 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 25 | 61 |
| Overall | 100% | 35/100 | 42/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Hermes 4 405BNous Research | MiMo-V2-ProXiaomi |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.00 | $1.00 |
| Output | $3.00 | $3.00 |
| Cached input | — | — |
| Blended (3:1) | $1.50 | $1.50 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 5 providers | Median of 1 providers |
| Limits | ||
| Context window | 131,072 tokens | 1,048,576 tokens (best) |
| Max output | 117,964 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | — |
| API providers | 5 (best) | 2 |
| Released | Aug 26, 2025 | Mar 18, 2026 |
| Knowledge cutoff | Aug 31, 2024 | Dec 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Hermes 4 405B$16.00
- MiMo-V2-Pro$16.00
Which should you choose?
Which is better: Hermes 4 405B or MiMo-V2-Pro?
MiMo-V2-Pro is the better all-round choice, scoring 42/100 against Hermes 4 405B (35). It leads on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Hermes 4 405B or MiMo-V2-Pro?
Hermes 4 405B and MiMo-V2-Pro cost the same: $1.00 input / $3.00 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Hermes 4 405B has not been scored yet and MiMo-V2-Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Hermes 4 405B and MiMo-V2-Pro yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
MiMo-V2-Pro has the largest context window at 1,048,576 tokens, against 131,072 for Hermes 4 405B. Maximum output per response: Hermes 4 405B up to 117,964, MiMo-V2-Pro up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Hermes 4 405B accepts text; MiMo-V2-Pro accepts text. They handle the same number of input types.
Are any of these open source?
Hermes 4 405B publishes its weights and can be self-hosted; MiMo-V2-Pro is proprietary.
Which is newer?
MiMo-V2-Pro is the newest, released Mar 18, 2026. Hermes 4 405B came out Aug 26, 2025. Knowledge cutoff: Hermes 4 405B Aug 31, 2024, MiMo-V2-Pro Dec 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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