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Compare / head-to-head

Qwen3.5 27BvsQwen3.6-Flash

Qwen3.5 27B leads 1 of 1 shared benchmark. Qwen3.5 27B is 1.5x cheaper per token. Qwen3.6-Flash has the larger context window (1M tokens).

Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.

Shared benchmarks
1 – 0
Qwen3.5 27B leads
Cheaper per token
Qwen3.5 27B
1.5x cheaper, input + output
Larger context
Qwen3.6-Flash
1M tokens
Provider uptime (30d)
Qwen
textvision
Context
262K
Max out
Input /1M
$0.086
Output /1M
$0.688
Cached /1M
Scores
5 · 5 core
Qwen3.6-Flash
Qwen · released 2026-04-16
textvision
Context
1M
Max out
Input /1M
$0.165
Output /1M
$0.99
Cached /1M
Scores
4 · 4 core
Quality

Benchmark matrix

BenchmarkQwen3.5 27BQwen3.6-FlashΔEdge
Reported by both · 1
GPQA Diamond85.5% 83.3% epoch+2.2 ptQwen3.5 27B
Only Qwen3.5 27B reports · 4
SWE-bench Verified75% not reported
MMLU-Pro86.1% not reported
AIME 202691.7% matharenanot reported
LMArena Elo1408.1 not reported
Only Qwen3.6-Flash reports · 3
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported17.2% epoch
OTIS Mock AIME 2024-2025 (Epoch AI run)not reported84.4% epoch
SimpleQA Verifiednot reported15.9% epoch
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Qwen3.5 27B minus Qwen3.6-Flash in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing

Side by side

SpecQwen3.5 27BQwen3.6-FlashEdge
Context window262K tokens1M tokensQwen3.6-Flash
Max output
Input price / 1M$0.086 $0.165 Qwen3.5 27B
Output price / 1M$0.688 $0.99 Qwen3.5 27B
Cached input / 1M
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0.774$1.16Qwen3.5 27B
Modalitiestext · visiontext · visionTie
Released2026-04-16
Cited benchmark scores54
Reliability

Qwen status

All providers
More matchups

Qwen3.6-Flash vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run Qwen3.5 27B and Qwen3.6-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.