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Compare / head-to-head

Qwen3.7-FlashvsQwen3.7-Max

Qwen3.7-Flash and Qwen3.7-Max do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Qwen3.7-Flash is 47.8x cheaper per token. Both offer a 1M-token context window.

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

Shared benchmarks
0
no overlap yet
Cheaper per token
Qwen3.7-Flash
47.8x cheaper, input + output
Larger context
Tie
both 1M tokens
Provider uptime (30d)
Qwen
Qwen3.7-Flash
Qwen · released 2026-07-15
textvision
Context
1M
Max out
Input /1M
$0.028
Output /1M
$0.11
Cached /1M
Scores
3 · 3 core
Qwen3.7-Max
Qwen · released 2026-05-20
textvision
Context
1M
Max out
Input /1M
$1.65
Output /1M
$4.95
Cached /1M
Scores
0 · 0 core
Quality

Benchmark matrix

BenchmarkQwen3.7-FlashQwen3.7-MaxΔEdge
Reported by both · 0
No public benchmark is reported for both models yet.
Only Qwen3.7-Flash reports · 3
GPQA Diamond82.3% epochnot reported
FrontierMath Tiers 1-3 v2 (Epoch AI run)19.3% epochnot reported
OTIS Mock AIME 2024-2025 (Epoch AI run)86.7% epochnot reported
Only Qwen3.7-Max reports · 0
Qwen3.7-Max reports nothing Qwen3.7-Flash does not.
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 Qwen3.7-Flash minus Qwen3.7-Max 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

SpecQwen3.7-FlashQwen3.7-MaxEdge
Context window1M tokens1M tokensTie
Max output
Input price / 1M$0.028 $1.65 Qwen3.7-Flash
Output price / 1M$0.11 $4.95 Qwen3.7-Flash
Cached input / 1M
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0.138$6.6Qwen3.7-Flash
Modalitiestext · visiontext · visionTie
Released2026-07-152026-05-20
Cited benchmark scores30
Reliability

Qwen status

All providers
More matchups

Qwen3.7-Flash vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run Qwen3.7-Flash and Qwen3.7-Max on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.