Codestral 2508 vs Schematron V2 Turbo
Schematron V2 Turbo costs 6.0x less per output token than Codestral 2508 ($0.15 vs $0.90 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.90
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.15
Codestral 2508 or Schematron V2 Turbo: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Codestral 2508 for a larger context window (256K against 128K tokens).
No benchmark has tested both yet. Codestral 2508 has results on ALE-Bench, Kagi LLM Benchmark and Design Arena: websites; Schematron V2 Turbo has none yet. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Web design
Design Arena: websites
No call
Only Codestral 2508 has a Design Arena: websites result, 1013.
Directional only
Long documents
Listed context window
Codestral 2508
Codestral 2508 takes 256K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Schematron V2 Turbo
Codestral 2508 $0.0008, Schematron V2 Turbo $0.0001 per turn.
List prices
At a glance
- Coding index
- Codestral 2508 not benchmarked, Schematron V2 Turbo not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Codestral 2508 $0.90 against Schematron V2 Turbo $0.15 per million output tokens, 6.0x apart.
- Context window
- Codestral 2508 takes 256K tokens, Schematron V2 Turbo 128K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | Codestral 2508 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| ALE-Bench | 137.8 | Not measured | Only Codestral 2508 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Codestral 2508 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| Kagi LLM Benchmark | 32.5% | Not measured | Only Codestral 2508 measured |
| Neither model has a result on the other 21 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Codestral 2508 | Schematron V2 Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | 1013 | Not measured | Only Codestral 2508 measured |
| Design Arena: UI components | 1017 | Not measured | Only Codestral 2508 measured |
| Design Arena: game dev | 968 | Not measured | Only Codestral 2508 measured |
| Design Arena: data viz | 1017 | Not measured | Only Codestral 2508 measured |
| Design Arena: 3D | 1020 | Not measured | Only Codestral 2508 measured |
| Design Arena: all code categories | 1007 | Not measured | Only Codestral 2508 measured |
| Neither model has a result on the other 3 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Schematron V2 Turbo costs less
Repository review
50K input + 3K output tokens
Schematron V2 Turbo costs less
Agent loop
200K input + 10K output tokens
Schematron V2 Turbo costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Mistral Codestral 2508 | Inference.net Schematron V2 Turbo |
|---|---|---|
| Maker | Mistral AI | Inference.net |
| Weights | No public weights listed | Open weights |
| Released | August 1, 2025 | September 12, 2026 |
| Context window | 256K | 128K |
| Input $/Mtok | $0.30 | $0.03 |
| Output $/Mtok | $0.90 | $0.15 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Codestral 2508 better than Schematron V2 Turbo for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Codestral 2508 for a larger context window (256K against 128K tokens).
Which is cheaper, Codestral 2508 or Schematron V2 Turbo?
Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Schematron V2 Turbo costs $0.03 and $0.15. Cost per solved task is known for neither of them.
Which has the bigger context window, Codestral 2508 or Schematron V2 Turbo?
Codestral 2508, with 256K tokens against 128K.
Has any benchmark tested both Codestral 2508 and Schematron V2 Turbo?
No benchmark has tested both yet. Codestral 2508 has results on ALE-Bench, Kagi LLM Benchmark and Design Arena: websites; Schematron V2 Turbo has none yet. Compare them on price and context instead. Data as of October 21, 2026.