Codestral vs SOLAR 10.7B Instruct v1.0
Codestral comes out ahead, 35 to 0 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AICodestral
35/100- ECI—
- Price$0.30 / $0.90
- Context256K
UpstageSOLAR 10.7B Instruct v1.0
0/100- ECI—
- Price—
- Context4K
Add a model
Make it a three-way comparison.
Codestral is our pick
Codestral is the better all-round choice, scoring 35/100 against SOLAR 10.7B Instruct v1.0 (0). It leads on inputs & features and 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 priceCodestralCodestral $0.45 per 1M tokens (3:1 blend) · SOLAR 10.7B Instruct v1.0 unpriced
- Longest contextCodestralCodestral 256,000 · SOLAR 10.7B Instruct v1.0 4,096 tokens
- Widest inputsSame inputsCodestral: Text · SOLAR 10.7B Instruct v1.0: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Codestral | SOLAR 10.7B Instruct v1.0 |
|---|---|---|---|
| Inputs & features | 60% | 35 | 0 |
| Context window | 40% | 36 | 0 |
| Overall | 100% | 35/100 | 0/100 |
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 | CodestralMistral AI | SOLAR 10.7B Instruct v1.0Upstage |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | — |
| Output | $0.90 | — |
| Cached input | $0.03 | — |
| Blended (3:1) | $0.45 | — |
| Long-context rate | Same rate | — |
| Price source | Official Mistral API | — |
| Limits | ||
| Context window | 256,000 tokens (best) | 4,096 tokens |
| Max output | 4,096 tokens | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | Open | OpenCC-BY-NC-4.0 |
| API model ID | codestral-latest | — |
| API providers | 4 | — |
| Released | May 29, 2024 | Dec 12, 2023 |
| Knowledge cutoff | Oct 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$4.80
- SOLAR 10.7B Instruct v1.0—
Which should you choose?
Which is better: Codestral or SOLAR 10.7B Instruct v1.0?
Codestral is the better all-round choice, scoring 35/100 against SOLAR 10.7B Instruct v1.0 (0). It leads on inputs & features and 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, Codestral or SOLAR 10.7B Instruct v1.0?
Codestral is cheaper at $0.30 input / $0.90 output per million tokens (official Mistral API price). . At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Codestral versus . SOLAR 10.7B Instruct v1.0 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Codestral has not been scored yet and SOLAR 10.7B Instruct v1.0 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral and SOLAR 10.7B Instruct v1.0 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that SOLAR 10.7B Instruct v1.0 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Codestral has the largest context window at 256,000 tokens, against 4,096 for SOLAR 10.7B Instruct v1.0. Maximum output per response: Codestral up to 4,096, SOLAR 10.7B Instruct v1.0 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Codestral accepts text; SOLAR 10.7B Instruct v1.0 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (CC-BY-NC-4.0), so you can self-host them.
Which is newer?
Codestral is the newest, released May 29, 2024. SOLAR 10.7B Instruct v1.0 came out Dec 12, 2023. Knowledge cutoff: Codestral Oct 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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