Ling 3.1 Flash vs Qwen3.7 Flash
Qwen3.7 Flash costs 1.7x less per output token than Ling 3.1 Flash ($0.13 vs $0.225 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.225
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.13
Ling 3.1 Flash or Qwen3.7 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. Ling 3.1 Flash has results on SciCode, AA Intelligence Index and Humanity's Last Exam (Artificial Analysis run); Qwen3.7 Flash on ALE-Bench, Epoch Capabilities Index and GPQA Diamond (Epoch AI 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
Long documents
Listed context window
Qwen3.7 Flash
Qwen3.7 Flash takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3.7 Flash
Ling 3.1 Flash $0.0002, Qwen3.7 Flash $0.0001 per turn.
List prices
At a glance
- Coding index
- Ling 3.1 Flash not benchmarked, Qwen3.7 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
- Ling 3.1 Flash $0.225 against Qwen3.7 Flash $0.13 per million output tokens, 1.7x apart.
- Context window
- Ling 3.1 Flash takes 262K tokens, Qwen3.7 Flash 1M.
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 index2 boards measured
| Benchmark | Ling 3.1 Flash | Qwen3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 41.1 | Not measured | Only Ling 3.1 Flash measured |
| Epoch Capabilities Index | Not measured | 144.1 | Only Qwen3.7 Flash measured |
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Ling 3.1 Flash | Qwen3.7 Flash | Leader |
|---|---|---|---|
| Humanity's Last Exam (Artificial Analysis run) | 39.4% | Not measured | Only Ling 3.1 Flash measured |
| GPQA Diamond (Epoch AI run) | Not measured | 82.3% | Only Qwen3.7 Flash measured |
| Mystery game puzzles | Not measured | 15.0% | Only Qwen3.7 Flash measured |
| Neither model has a result on the other 20 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Ling 3.1 Flash | Qwen3.7 Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 86.7% | Only Qwen3.7 Flash measured |
| FrontierMath, tiers 1 to 3 | Not measured | 19.3% | Only Qwen3.7 Flash measured |
| Neither model has a result on the other 12 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Ling 3.1 Flash | Qwen3.7 Flash | Leader |
|---|---|---|---|
| Long context reasoning (AA-LCR) | 83.0% | Not measured | Only Ling 3.1 Flash measured |
| Neither model has a result on the other 47 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
Qwen3.7 Flash costs less
Repository review
50K input + 3K output tokens
Qwen3.7 Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3.7 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 | inclusionAI Ling 3.1 Flash | Qwen3.7 Flash |
|---|---|---|
| Maker | inclusionAI | Qwen |
| Weights | No public weights listed | No public weights listed |
| Released | October 2, 2026 | July 27, 2026 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.075 | $0.03 |
| Output $/Mtok | $0.225 | $0.13 |
| 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 Ling 3.1 Flash better than Qwen3.7 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, Ling 3.1 Flash or Qwen3.7 Flash?
Ling 3.1 Flash costs $0.075 per million input tokens and $0.225 per million output tokens; Qwen3.7 Flash costs $0.03 and $0.13. Cost per solved task is known for neither of them.
Which has the bigger context window, Ling 3.1 Flash or Qwen3.7 Flash?
Qwen3.7 Flash, with 1M tokens against 262K.
Has any benchmark tested both Ling 3.1 Flash and Qwen3.7 Flash?
No benchmark has tested both yet. Ling 3.1 Flash has results on SciCode, AA Intelligence Index and Humanity's Last Exam (Artificial Analysis run); Qwen3.7 Flash on ALE-Bench, Epoch Capabilities Index and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 22, 2026.