Codestral 2508 vs Ling 3.1 Flash
Ling 3.1 Flash costs 4.0x less per output token than Codestral 2508 ($0.225 vs $0.90 per million). Updated October 22, 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
- $0.225
Codestral 2508 or Ling 3.1 Flash: 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. Codestral 2508 has results on ALE-Bench, Kagi LLM Benchmark and Design Arena: websites; Ling 3.1 Flash on SciCode, AA Intelligence Index and Humanity's Last Exam (Artificial Analysis run). 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 Ling 3.1 Flash has a AA Intelligence Index result, 41.1.
Directional only
Web design
Design Arena: websites
No call
Only Codestral 2508 has a Design Arena: websites result, 1012.
Directional only
Long documents
Listed context window
Ling 3.1 Flash
Ling 3.1 Flash takes 262K tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Ling 3.1 Flash
Codestral 2508 $0.0008, Ling 3.1 Flash $0.0002 per turn.
List prices
At a glance
- Coding index
- Codestral 2508 not benchmarked, Ling 3.1 Flash 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 Ling 3.1 Flash $0.225 per million output tokens, 4.0x apart.
- Context window
- Codestral 2508 takes 256K tokens, Ling 3.1 Flash 262K.
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 Index2 boards measured
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Codestral 2508 | Ling 3.1 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 41.1 | Only Ling 3.1 Flash measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Codestral 2508 | Ling 3.1 Flash | Leader |
|---|---|---|---|
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 39.4% | Only Ling 3.1 Flash measured |
| Kagi LLM Benchmark | 32.5% | Not measured | Only Codestral 2508 measured |
| Neither model has a result on the other 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Codestral 2508 | Ling 3.1 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | 1012 | Not measured | Only Codestral 2508 measured |
| Design Arena: UI components | 1014 | Not measured | Only Codestral 2508 measured |
| Design Arena: game dev | 967 | Not measured | Only Codestral 2508 measured |
| Design Arena: data viz | 1017 | Not measured | Only Codestral 2508 measured |
| Design Arena: 3D | 1019 | 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 | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Codestral 2508 | Ling 3.1 Flash | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | Not measured | 83.0% | Only Ling 3.1 Flash measured |
| Neither model has a result on the other 45 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
Ling 3.1 Flash costs less
Repository review
50K input + 3K output tokens
Ling 3.1 Flash costs less
Agent loop
200K input + 10K output tokens
Ling 3.1 Flash 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 | inclusionAI Ling 3.1 Flash |
|---|---|---|
| Maker | Mistral AI | inclusionAI |
| Weights | No public weights listed | No public weights listed |
| Released | August 1, 2025 | October 2, 2026 |
| Context window | 256K | 262K |
| Input $/Mtok | $0.30 | $0.075 |
| Output $/Mtok | $0.90 | $0.225 |
| 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 Ling 3.1 Flash 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, Codestral 2508 or Ling 3.1 Flash?
Codestral 2508 costs $0.30 per million input tokens and $0.90 per million output tokens; Ling 3.1 Flash costs $0.075 and $0.225. Cost per solved task is known for neither of them.
Which has the bigger context window, Codestral 2508 or Ling 3.1 Flash?
Ling 3.1 Flash, with 262K tokens against 256K.
Has any benchmark tested both Codestral 2508 and Ling 3.1 Flash?
No benchmark has tested both yet. Codestral 2508 has results on ALE-Bench, Kagi LLM Benchmark and Design Arena: websites; Ling 3.1 Flash on SciCode, AA Intelligence Index and Humanity's Last Exam (Artificial Analysis run). Compare them on price and context instead. Data as of October 22, 2026.