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Comparison · 2 models · Updated Nov 2, 2026

SOLAR 10.7B Instruct v1.0 vs Codestral

Codestral comes out ahead, 35 to 0 on our weighted score, and it is the cheaper option too.

  1. Upstage

    SOLAR 10.7B Instruct v1.0

    Released Dec 12, 2023

    0/100
    • ECI—
    • Price—
    • Context4K
    Full specs Remove SOLAR 10.7B Instruct v1.0
  2. Our pick

    Mistral AI

    Codestral

    Released May 29, 2024

    35/100
    • ECI—
    • Price$0.30 / $0.90
    • Context256K
    Full specs Remove Codestral

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

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 inputsSOLAR 10.7B Instruct v1.0: Text · Codestral: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightSOLAR 10.7B Instruct v1.0Codestral
Inputs & features60%035
Context window40%036
Overall100%0/10035/100

Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

SOLAR 10.7B Instruct v1.0 vs Codestral specifications side by side
SpecificationSOLAR 10.7B Instruct v1.0UpstageCodestralMistral AI
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 window4,096 tokens256,000 tokens (best)
Max output4,096 tokens4,096 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoYes
Structured outputNoYes
Availability
WeightsOpenCC-BY-NC-4.0Open
API model ID—codestral-latest
API providers—4
ReleasedDec 12, 2023May 29, 2024
Knowledge cutoff—Oct 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • SOLAR 10.7B Instruct v1.0—
  • Codestral$4.80
04 — Questions

Which should you choose?

Which is better: SOLAR 10.7B Instruct v1.0 or Codestral?

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, SOLAR 10.7B Instruct v1.0 or Codestral?

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. SOLAR 10.7B Instruct v1.0 has not been scored yet and Codestral has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for SOLAR 10.7B Instruct v1.0 and Codestral 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: SOLAR 10.7B Instruct v1.0 up to 4,096, Codestral up to 4,096 tokens.

Which can read images, PDFs, audio or video?

SOLAR 10.7B Instruct v1.0 accepts text; Codestral 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.

05 — Keep comparing

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