Aya Expanse 32B vs Codestral-22B-v0.1 vs Hermes 3 405B Instruct
Too close to call on our weighted score (Hermes 3 405B Instruct 10, Aya Expanse 32B 10, Codestral-22B-v0.1 0). The right pick depends on what you value most.
CohereAya Expanse 32B
10/100- ECI—
- Price$0.50 / $1.50
- Context128K
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
Nous ResearchHermes 3 405B Instruct
10/100- ECI—
- Price$1.00 / $1.00
- Context131K
Too close to call
It is close. Our weighted score puts them within a point (Hermes 3 405B Instruct 10/100, Aya Expanse 32B 10/100, Codestral-22B-v0.1 0/100), so choose by what matters most for your work: Aya Expanse 32B on price and Hermes 3 405B Instruct for long inputs. The score weighs inputs & features 60%, context window 40%. 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 priceAya Expanse 32BAya Expanse 32B $0.75 · Hermes 3 405B Instruct $1.00 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextHermes 3 405B InstructHermes 3 405B Instruct 131,072 · Aya Expanse 32B 128,000 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsSame inputsAya Expanse 32B: Text · Codestral-22B-v0.1: Text · Hermes 3 405B Instruct: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Aya Expanse 32B | Codestral-22B-v0.1 | Hermes 3 405B Instruct |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 0 | 0 |
| Context window | 40% | 24 | 0 | 25 |
| Overall | 100% | 10/100 | 0/100 | 10/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Aya Expanse 32BCohere | Codestral-22B-v0.1Mistral AI | Hermes 3 405B InstructNous Research |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 (best) | — | $1.00 |
| Output | $1.50 | — | $1.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.75 (best) | — | $1.00 |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Cohere API | — | Median of 5 providers |
| Limits | |||
| Context window | 128,000 tokens | 32,768 tokens | 131,072 tokens (best) |
| Max output | 4,000 tokens | 8,192 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | No | No | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | OpenMistral AI Non-Production License | Open |
| API model ID | c4ai-aya-expanse-32b | — | — |
| API providers | 2 | — | 5 (best) |
| Released | Oct 24, 2024 | May 29, 2024 | Aug 16, 2024 |
| Knowledge cutoff | — | — | Dec 31, 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Aya Expanse 32B$8.00
- Codestral-22B-v0.1—
- Hermes 3 405B Instruct$12.00
Which should you choose?
Which is better: Aya Expanse 32B, Codestral-22B-v0.1 or Hermes 3 405B Instruct?
It is close. Our weighted score puts them within a point (Hermes 3 405B Instruct 10/100, Aya Expanse 32B 10/100, Codestral-22B-v0.1 0/100), so choose by what matters most for your work: Aya Expanse 32B on price and Hermes 3 405B Instruct for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Aya Expanse 32B, Codestral-22B-v0.1 or Hermes 3 405B Instruct?
Aya Expanse 32B is cheaper at $0.50 input / $1.50 output per million tokens (official Cohere API price). Hermes 3 405B Instruct costs $1.00 input / $1.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Aya Expanse 32B versus $1.00 for Hermes 3 405B Instruct (1.3× as much). Codestral-22B-v0.1 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Aya Expanse 32B has not been scored yet, Codestral-22B-v0.1 has not been scored yet and Hermes 3 405B Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Aya Expanse 32B, Codestral-22B-v0.1 and Hermes 3 405B Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 32B, Codestral-22B-v0.1 and Hermes 3 405B Instruct does not support tool calling, which most coding agents need.
Which has the bigger context window?
Hermes 3 405B Instruct has the largest context window at 131,072 tokens, against 128,000 for Aya Expanse 32B and 32,768 for Codestral-22B-v0.1. Maximum output per response: Aya Expanse 32B up to 4,000, Codestral-22B-v0.1 up to 8,192, Hermes 3 405B Instruct up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Aya Expanse 32B accepts text; Codestral-22B-v0.1 accepts text; Hermes 3 405B Instruct accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights (CC-BY-NC-4.0 and Mistral AI Non-Production License), so you can self-host them.
Which is newer?
Aya Expanse 32B is the newest, released Oct 24, 2024. Hermes 3 405B Instruct came out Aug 16, 2024; Codestral-22B-v0.1 came out May 29, 2024. Knowledge cutoff: Hermes 3 405B Instruct Dec 31, 2023.
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.
