Codestral-22B-v0.1 vs Qwen Max vs solar-mini
Qwen Max comes out ahead, 21 to 15 and 0 on our weighted score, though solar-mini is 19× cheaper per token.
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
- Our pick
Alibaba (Qwen)Qwen Max
21/100- ECI—
- Price$1.60 / $6.40
- Context33K
Upstagesolar-mini
15/100- ECI—
- Price$0.15 / $0.15
- Context33K
Qwen Max is our pick
Qwen Max is the better all-round choice, scoring 21/100 against solar-mini (15) and Codestral-22B-v0.1 (0). It leads on inputs & features. 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 · Qwen Max $2.80 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextAbout the sameCodestral-22B-v0.1 32,768 · Qwen Max 32,768 · solar-mini 32,768 tokens
- Widest inputsSame inputsCodestral-22B-v0.1: Text · Qwen Max: Text · solar-mini: Text
- Self-hostingCodestral-22B-v0.1Publishes downloadable weights (Mistral AI Non-Production License)
| Measure | Weight | Codestral-22B-v0.1 | Qwen Max | solar-mini |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 35 | 25 |
| Context window | 40% | 0 | 0 | 0 |
| Overall | 100% | 0/100 | 21/100 | 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 | Codestral-22B-v0.1Mistral AI | Qwen MaxAlibaba (Qwen) | solar-miniUpstage |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $1.60 | $0.15 (best) |
| Output | — | $6.40 | $0.15 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $2.80 | $0.15 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official Alibaba API | Official Upstage API |
| Limits | |||
| Context window | 32,768 tokens | 32,768 tokens | 32,768 tokens |
| Max output | 8,192 tokens (best) | 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 | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | OpenMistral AI Non-Production License | Proprietary | Proprietary |
| API model ID | — | qwen-max | solar-mini |
| API providers | — | 8 (best) | 1 |
| Released | May 29, 2024 | Apr 3, 2024 | Jun 12, 2024 |
| Knowledge cutoff | — | Apr 2024 | 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.
- Codestral-22B-v0.1—
- Qwen Max$28.80
- solar-mini$1.80
Which should you choose?
Which is better: Codestral-22B-v0.1, Qwen Max or solar-mini?
Qwen Max is the better all-round choice, scoring 21/100 against solar-mini (15) and Codestral-22B-v0.1 (0). It leads on inputs & features. 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, Codestral-22B-v0.1, Qwen Max or solar-mini?
solar-mini is cheaper at $0.15 input / $0.15 output per million tokens (official Upstage API price). Qwen Max costs $1.60 input / $6.40 output per million tokens (official Alibaba 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 $2.80 for Qwen Max (19× 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. Codestral-22B-v0.1 has not been scored yet, Qwen Max 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 Codestral-22B-v0.1, Qwen Max and solar-mini yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Codestral-22B-v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Codestral-22B-v0.1, Qwen Max and solar-mini share the same 32,768-token context window. Maximum output per response: Codestral-22B-v0.1 up to 8,192, Qwen Max up to 8,192, solar-mini up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Codestral-22B-v0.1 accepts text; Qwen Max accepts text; solar-mini accepts text. They handle the same number of input types.
Are any of these open source?
Codestral-22B-v0.1 publishes its weights (Mistral AI Non-Production License) and can be self-hosted; Qwen Max and solar-mini is proprietary.
Which is newer?
solar-mini is the newest, released Jun 12, 2024. Codestral-22B-v0.1 came out May 29, 2024; Qwen Max came out Apr 3, 2024. Knowledge cutoff: Qwen Max Apr 2024, 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.
