Devstral 2 2512 vs GLM 5 Turbo
Updated October 21, 2026. 1 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Devstral 2 2512 has the edge where output tokens cost 2.0x less, and where the context window is larger, 262K against 203K tokens.
- Shared results
- 1
- Devstral 2 2512 only
- 5
- GLM 5 Turbo only
- 15
- Like-for-like categories
- 1 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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
GLM 5 Turbo
GLM 5 Turbo leads, 26.6 against 8.6.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Devstral 2 2512 has a AA Agentic Index result, 2.3.
Directional only
Web design
Design Arena: websites
No call
Only GLM 5 Turbo has a Design Arena: websites result, 1262.
Directional only
Long documents
Listed context window
Devstral 2 2512
Devstral 2 2512 takes 262K tokens against 203K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Devstral 2 2512
Devstral 2 2512 $0.0014, GLM 5 Turbo $0.0032 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, GLM 5 Turbo not benchmarked.
- Widest category
- Intelligence, 18.0 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Devstral 2 2512 8.6 against GLM 5 Turbo 26.6, 18.0 points apart on a 0 to 100 scale.
- Output price
- Devstral 2 2512 $2.00 against GLM 5 Turbo $4.00 per million output tokens, 2.0x apart.
- Context window
- Devstral 2 2512 takes 262K tokens, GLM 5 Turbo 203K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Devstral 2 2512 | Bars | GLM 5 Turbo | Ties |
|---|---|---|---|---|
| Intelligence | 0 | 1 | ||
| All shared boards | 0 | 1 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | 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 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 33.3% | Only GLM 5 Turbo measured |
| ALE-Bench | Not measured | 634.0 | Only GLM 5 Turbo measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| AA Intelligence Index | 8.6 | 26.6 | GLM 5 Turbo |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| AA Agentic Index | 2.3 | Not measured | Only Devstral 2 2512 measured |
| τ²-Bench Telecom | Not measured | 98.5% | Only GLM 5 Turbo measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | Not measured | 84.7% | Only GLM 5 Turbo measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 27.8% | Only GLM 5 Turbo measured |
| Neither model has a result on the other 19 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| Neither model has a result on 13 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| Neither model has a result on 17 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1262 | Only GLM 5 Turbo measured |
| Design Arena: UI components | Not measured | 1263 | Only GLM 5 Turbo measured |
| Design Arena: game dev | Not measured | 1248 | Only GLM 5 Turbo measured |
| Design Arena: data viz | Not measured | 1263 | Only GLM 5 Turbo measured |
| Design Arena: 3D | Not measured | 1248 | Only GLM 5 Turbo measured |
| Design Arena: all code categories | Not measured | 1262 | Only GLM 5 Turbo measured |
| Design Arena: SVG | Not measured | 1206 | Only GLM 5 Turbo measured |
| Design Arena: ASCII art | Not measured | 1160 | Only GLM 5 Turbo measured |
| Neither model has a result on the other 1 board here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| IFBench | Not measured | 73.2% | Only GLM 5 Turbo measured |
| Long context reasoning (AA-LCR) | Not measured | 71.7% | Only GLM 5 Turbo measured |
| Neither model has a result on the other 44 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Devstral 2 2512 | GLM 5 Turbo | Leader |
|---|---|---|---|
| Neither model has a result on 5 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
Devstral 2 2512 costs less
Repository review
50K input + 3K output tokens
Devstral 2 2512 costs less
Agent loop
200K input + 10K output tokens
Devstral 2 2512 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 | Z.ai GLM 5 Turbo |
|---|---|---|
| Maker | Mistral AI | Z.ai |
| Weights | Open weights | No public weights listed |
| Released | December 9, 2025 | March 15, 2026 |
| Context window | 262K | 203K |
| Input $/Mtok | $0.40 | $1.20 |
| Output $/Mtok | $2.00 | $4.00 |
| 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 GLM 5 Turbo for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Devstral 2 2512 has the edge where output tokens cost 2.0x less, and where the context window is larger, 262K against 203K tokens.
Which is cheaper, Devstral 2 2512 or GLM 5 Turbo?
Devstral 2 2512 costs $0.40 per million input tokens and $2.00 per million output tokens; GLM 5 Turbo costs $1.20 and $4.00. Cost per solved task is known for Devstral 2 2512 only.
Which has the bigger context window, Devstral 2 2512 or GLM 5 Turbo?
Devstral 2 2512, with 262K tokens against 203K.
How many benchmarks is the Devstral 2 2512 vs GLM 5 Turbo comparison based on?
1 benchmarks have a result for both models as of October 21, 2026. Devstral 2 2512's coding index rests on 1 independent benchmark and GLM 5 Turbo's on 0. Where only one model has a result, the page says so instead of naming a winner.