Qwen3.6 27B vs Qwen3 Coder Flash
Qwen3 Coder Flash costs 2.8x less per output token than Qwen3.6 27B ($0.975 vs $2.70 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- 36.8
- Overall
- 45.3
- Output $/M
- $2.70
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.975
Qwen3.6 27B or Qwen3 Coder Flash: which to pick
Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Qwen3 Coder Flash has none, so the two cannot be ranked on coding.
Pick Qwen3 Coder Flash for output tokens 2.8x cheaper ($0.975 vs $2.70 per million) and a larger context window (1M against 262K tokens).
No benchmark has tested both yet. Qwen3.6 27B has results on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); Qwen3 Coder Flash 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
Only Qwen3.6 27B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Qwen3.6 27B has a AA Intelligence Index result, 21.4.
Directional only
Agentic work
AA Agentic Index
No call
Only Qwen3.6 27B has a AA Agentic Index result, 18.5.
Directional only
Long documents
Listed context window
Qwen3 Coder Flash
Qwen3 Coder Flash takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen3 Coder Flash
Qwen3.6 27B $0.0018, Qwen3 Coder Flash $0.0007 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Qwen3.6 27B has the number, $1.30.
Directional only
At a glance
- Coding index
- Qwen3.6 27B 36.8 from 2 benchmarks, Qwen3 Coder 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
- Qwen3.6 27B $2.70 against Qwen3 Coder Flash $0.975 per million output tokens, 2.8x apart.
- Context window
- Qwen3.6 27B takes 262K tokens, Qwen3 Coder 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 Index5 boards measured
| Benchmark | Qwen3.6 27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| AA Coding Index | 53.7 | Not measured | Only Qwen3.6 27B measured |
| SWE-bench Verified (Vals AI) | 70.0% | Not measured | Only Qwen3.6 27B measured |
| Vibe Code Bench (Vals AI) | 11.9% | Not measured | Only Qwen3.6 27B measured |
| SciCode | 42.8% | Not measured | Only Qwen3.6 27B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 34.8% | Not measured | Only Qwen3.6 27B measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.6 27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 21.4 | Not measured | Only Qwen3.6 27B measured |
| Epoch Capabilities Index | 146.2 | Not measured | Only Qwen3.6 27B measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.6 27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| AA Agentic Index | 18.5 | Not measured | Only Qwen3.6 27B measured |
| τ²-Bench Telecom | 94.2% | Not measured | Only Qwen3.6 27B measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Qwen3.6 27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 84.2% | Not measured | Only Qwen3.6 27B measured |
| Humanity's Last Exam (Artificial Analysis run) | 23.1% | Not measured | Only Qwen3.6 27B measured |
| GPQA Diamond (Epoch AI run) | 85.9% | Not measured | Only Qwen3.6 27B measured |
| Mystery game puzzles | 7.0% | Not measured | Only Qwen3.6 27B measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Qwen3.6 27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| OTIS Mock AIME | 91.1% | Not measured | Only Qwen3.6 27B measured |
| FrontierMath, tiers 1 to 3 | 35.1% | Not measured | Only Qwen3.6 27B measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Qwen3.6 27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 53.2% | Not measured | Only Qwen3.6 27B measured |
| CorpFin (Vals AI) | 62.3% | Not measured | Only Qwen3.6 27B measured |
| TaxEval (Vals AI) | 71.3% | Not measured | Only Qwen3.6 27B measured |
| MortgageTax (Vals AI) | 68.3% | Not measured | Only Qwen3.6 27B measured |
| Neither model has a result on the other 14 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Qwen3.6 27B | Qwen3 Coder Flash | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 45.6% | Not measured | Only Qwen3.6 27B measured |
| IFBench | 67.6% | Not measured | Only Qwen3.6 27B measured |
| Long context reasoning (AA-LCR) | 77.3% | Not measured | Only Qwen3.6 27B measured |
| DTBench | 78.1% | Not measured | Only Qwen3.6 27B measured |
| LMCA | 34.5% | Not measured | Only Qwen3.6 27B measured |
| Neither model has a result on the other 41 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 Coder Flash costs less
Repository review
50K input + 3K output tokens
Qwen3 Coder Flash costs less
Agent loop
200K input + 10K output tokens
Qwen3 Coder 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 | Qwen3.6 27B | Qwen3 Coder Flash |
|---|---|---|
| Maker | Qwen | Qwen |
| Weights | Open weights | No public weights listed |
| Released | April 27, 2026 | September 17, 2025 |
| Context window | 262K | 1M |
| Input $/Mtok | $0.45 | $0.195 |
| Output $/Mtok | $2.70 | $0.975 |
| Coding index | 36.8 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | $1.30 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen3.6 27B better than Qwen3 Coder Flash for coding?
Only Qwen3.6 27B has a coding score, 36.8 on the Vibe Coding Index; Qwen3 Coder Flash has none, so the two cannot be ranked on coding. Pick Qwen3 Coder Flash for output tokens 2.8x cheaper ($0.975 vs $2.70 per million) and a larger context window (1M against 262K tokens).
Which is cheaper, Qwen3.6 27B or Qwen3 Coder Flash?
Qwen3.6 27B costs $0.45 per million input tokens and $2.70 per million output tokens; Qwen3 Coder Flash costs $0.195 and $0.975. Cost per solved task is known for Qwen3.6 27B only.
Which has the bigger context window, Qwen3.6 27B or Qwen3 Coder Flash?
Qwen3 Coder Flash, with 1M tokens against 262K.
Has any benchmark tested both Qwen3.6 27B and Qwen3 Coder Flash?
No benchmark has tested both yet. Qwen3.6 27B has results on AA Coding Index, SWE-bench Verified (Vals AI) and Vibe Code Bench (Vals AI); Qwen3 Coder Flash has none yet. Compare them on price and context instead. Data as of October 22, 2026.