Devstral 2 2512 vs Llama Guard 4 12B
Updated October 21, 2026. No benchmark has tested both models yet. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
- Coding
- No data
- Overall
- 8.6
- Output $/M
- $2.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.18
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Devstral 2 2512 has the edge where the context window is larger, 262K against 164K tokens.
No benchmark has tested both yet. Devstral 2 2512 has results on SWE-bench Verified, AA Coding Index and LiveCodeBench (Vals AI); Llama Guard 4 12B 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
Intelligence
AA Intelligence Index
No call
Only Devstral 2 2512 has a AA Intelligence Index result, 8.6.
Directional only
Agentic work
AA Agentic Index
No call
Only Devstral 2 2512 has a AA Agentic Index result, 2.3.
Directional only
Long documents
Listed context window
Devstral 2 2512
Devstral 2 2512 takes 262K tokens against 164K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama Guard 4 12B
Devstral 2 2512 $0.0014, Llama Guard 4 12B $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Devstral 2 2512 has the number, $1.19.
Directional only
At a glance
- Coding index
- Devstral 2 2512 not benchmarked, Llama Guard 4 12B 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
- Devstral 2 2512 $2.00 against Llama Guard 4 12B $0.18 per million output tokens, 11.1x apart.
- Context window
- Devstral 2 2512 takes 262K tokens, Llama Guard 4 12B 164K.
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 Index4 boards measured
| Benchmark | Devstral 2 2512 | Llama Guard 4 12B | Leader |
|---|---|---|---|
| SWE-bench Verified | 53.8% | Not measured | Only Devstral 2 2512 measured |
| AA Coding Index | 31.3 | Not measured | Only Devstral 2 2512 measured |
| LiveCodeBench (Vals AI) | 51.8% | Not measured | Only Devstral 2 2512 measured |
| SWE-bench Verified (Vals AI) | 62.8% | Not measured | Only Devstral 2 2512 measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Devstral 2 2512 | Llama Guard 4 12B | Leader |
|---|---|---|---|
| AA Intelligence Index | 8.6 | Not measured | Only Devstral 2 2512 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Devstral 2 2512 | Llama Guard 4 12B | Leader |
|---|---|---|---|
| AA Agentic Index | 2.3 | Not measured | Only Devstral 2 2512 measured |
| Neither model has a result on the other 38 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
Llama Guard 4 12B costs less
Repository review
50K input + 3K output tokens
Llama Guard 4 12B costs less
Agent loop
200K input + 10K output tokens
Llama Guard 4 12B 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 Devstral 2 2512 | Meta Llama Guard 4 12B |
|---|---|---|
| Maker | Mistral AI | Meta Llama |
| Weights | Open weights | Open weights |
| Released | December 9, 2025 | April 30, 2025 |
| Context window | 262K | 164K |
| Input $/Mtok | $0.40 | $0.18 |
| Output $/Mtok | $2.00 | $0.18 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $1.19 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Devstral 2 2512 better than Llama Guard 4 12B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Devstral 2 2512 has the edge where the context window is larger, 262K against 164K tokens.
Which is cheaper, Devstral 2 2512 or Llama Guard 4 12B?
Devstral 2 2512 costs $0.40 per million input tokens and $2.00 per million output tokens; Llama Guard 4 12B costs $0.18 and $0.18. Cost per solved task is known for Devstral 2 2512 only.
Which has the bigger context window, Devstral 2 2512 or Llama Guard 4 12B?
Devstral 2 2512, with 262K tokens against 164K.
Has any benchmark tested both Devstral 2 2512 and Llama Guard 4 12B?
No benchmark has tested both yet. Devstral 2 2512 has results on SWE-bench Verified, AA Coding Index and LiveCodeBench (Vals AI); Llama Guard 4 12B has none yet. Compare them on price and context instead. Data as of October 21, 2026.