Aya Expanse 32B vs Codestral-22B-v0.1 vs solar-mini
solar-mini comes out ahead, 15 to 10 and 0 on our weighted score, and it is the cheaper option too.
CohereAya Expanse 32B
10/100- ECI—
- Price$0.50 / $1.50
- Context128K
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
- Our pick
Upstagesolar-mini
15/100- ECI—
- Price$0.15 / $0.15
- Context33K
solar-mini is our pick
solar-mini is the better all-round choice, scoring 15/100 against Aya Expanse 32B (10) and Codestral-22B-v0.1 (0). It leads on inputs & features. Aya Expanse 32B wins on context window. 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 pricesolar-minisolar-mini $0.15 · Aya Expanse 32B $0.75 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextAya Expanse 32BAya Expanse 32B 128,000 · Codestral-22B-v0.1 32,768 · solar-mini 32,768 tokens
- Widest inputsSame inputsAya Expanse 32B: Text · Codestral-22B-v0.1: Text · solar-mini: Text
- Self-hostingAya Expanse 32B and Codestral-22B-v0.1Publishes downloadable weights (CC-BY-NC-4.0 and Mistral AI Non-Production License)
| Measure | Weight | Aya Expanse 32B | Codestral-22B-v0.1 | solar-mini |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 0 | 25 |
| Context window | 40% | 24 | 0 | 0 |
| Overall | 100% | 10/100 | 0/100 | 15/100 |
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 | solar-miniUpstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.50 | — | $0.15 (best) |
| Output | $1.50 | — | $0.15 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.75 | — | $0.15 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Cohere API | — | Official Upstage API |
| Limits | |||
| Context window | 128,000 tokens (best) | 32,768 tokens | 32,768 tokens |
| Max output | 4,000 tokens | 8,192 tokens (best) | 4,096 tokens |
| 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 | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenCC-BY-NC-4.0 | OpenMistral AI Non-Production License | Proprietary |
| API model ID | c4ai-aya-expanse-32b | — | solar-mini |
| API providers | 2 (best) | — | 1 |
| Released | Oct 24, 2024 | May 29, 2024 | Jun 12, 2024 |
| Knowledge cutoff | — | — | Sep 2024 |
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—
- solar-mini$1.80
Which should you choose?
Which is better: Aya Expanse 32B, Codestral-22B-v0.1 or solar-mini?
solar-mini is the better all-round choice, scoring 15/100 against Aya Expanse 32B (10) and Codestral-22B-v0.1 (0). It leads on inputs & features. Aya Expanse 32B wins on context window. 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 solar-mini?
solar-mini is cheaper at $0.15 input / $0.15 output per million tokens (official Upstage API price). Aya Expanse 32B costs $0.50 input / $1.50 output per million tokens (official Cohere API price). At a typical mix of three input tokens to one output token, that is $0.15 per million tokens for solar-mini versus $0.75 for Aya Expanse 32B (5× 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 solar-mini 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 solar-mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 32B and Codestral-22B-v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Aya Expanse 32B has the largest context window at 128,000 tokens, against 32,768 for Codestral-22B-v0.1 and 32,768 for solar-mini. Maximum output per response: Aya Expanse 32B up to 4,000, Codestral-22B-v0.1 up to 8,192, solar-mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Aya Expanse 32B accepts text; Codestral-22B-v0.1 accepts text; solar-mini accepts text. They handle the same number of input types.
Are any of these open source?
Aya Expanse 32B and Codestral-22B-v0.1 publishes its weights (CC-BY-NC-4.0 and Mistral AI Non-Production License) and can be self-hosted; solar-mini is proprietary.
Which is newer?
Aya Expanse 32B is the newest, released Oct 24, 2024. solar-mini came out Jun 12, 2024; Codestral-22B-v0.1 came out May 29, 2024. Knowledge cutoff: solar-mini Sep 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.
