Magnum v4 72B vs Codestral 2508
Codestral 2508 costs 5.6x less per output token than Magnum v4 72B ($0.90 vs $5.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $5.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.90
Magnum v4 72B or Codestral 2508: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. Magnum v4 72B has none yet; Codestral 2508 on ALE-Bench, Kagi LLM Benchmark and Design Arena: websites. 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, 1012.
Directional only
Long documents
Listed context window
Codestral 2508
Codestral 2508 takes 256K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Codestral 2508
Magnum v4 72B $0.0050, Codestral 2508 $0.0008 per turn.
List prices
At a glance
- Coding index
- Magnum v4 72B not benchmarked, Codestral 2508 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
- Magnum v4 72B $5.00 against Codestral 2508 $0.90 per million output tokens, 5.6x apart.
- Context window
- Magnum v4 72B takes 33K tokens, Codestral 2508 256K.
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 | Magnum v4 72B | Codestral 2508 | Leader |
|---|---|---|---|
| ALE-Bench | Not measured | 137.8 | 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 | Magnum v4 72B | Codestral 2508 | Leader |
|---|---|---|---|
| Kagi LLM Benchmark | Not measured | 32.5% | 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 | Magnum v4 72B | Codestral 2508 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1012 | Only Codestral 2508 measured |
| Design Arena: UI components | Not measured | 1014 | Only Codestral 2508 measured |
| Design Arena: game dev | Not measured | 967 | Only Codestral 2508 measured |
| Design Arena: data viz | Not measured | 1017 | Only Codestral 2508 measured |
| Design Arena: 3D | Not measured | 1019 | Only Codestral 2508 measured |
| Design Arena: all code categories | Not measured | 1007 | 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
Codestral 2508 costs less
Repository review
50K input + 3K output tokens
Codestral 2508 costs less
Agent loop
200K input + 10K output tokens
Codestral 2508 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 | Magnum v4 72B | Mistral Codestral 2508 |
|---|---|---|
| Maker | Anthracite | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | October 22, 2024 | August 1, 2025 |
| Context window | 33K | 256K |
| Input $/Mtok | $2.50 | $0.30 |
| Output $/Mtok | $5.00 | $0.90 |
| 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 Magnum v4 72B better than Codestral 2508 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, Magnum v4 72B or Codestral 2508?
Magnum v4 72B costs $2.50 per million input tokens and $5.00 per million output tokens; Codestral 2508 costs $0.30 and $0.90. Cost per solved task is known for neither of them.
Which has the bigger context window, Magnum v4 72B or Codestral 2508?
Codestral 2508, with 256K tokens against 33K.
Has any benchmark tested both Magnum v4 72B and Codestral 2508?
No benchmark has tested both yet. Magnum v4 72B has none yet; Codestral 2508 on ALE-Bench, Kagi LLM Benchmark and Design Arena: websites. Compare them on price and context instead. Data as of October 22, 2026.