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Compare / head-to-head

GLM-4.7vsQwen3.6-Flash

GLM-4.7 and Qwen3.6-Flash split their 3 shared benchmarks evenly. Qwen3.6-Flash is 2.4x 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 – 1
even split
Cheaper per token
Qwen3.6-Flash
2.4x cheaper, input + output
Larger context
Qwen3.6-Flash
1M tokens
Provider uptime (30d)
— · —
Z.ai · Qwen
GLM-4.7
Z.ai · released 2025-12-22
text
Context
200K
Max out
131K
Input /1M
$0.6
Output /1M
$2.2
Cached /1M
$0.11
Scores
4 · 4 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

BenchmarkGLM-4.7Qwen3.6-FlashΔEdge
Reported by both · 3
GPQA Diamond83.3% epoch83.3% epoch0Tie
OTIS Mock AIME 2024-2025 (Epoch AI run)83.3% epoch84.4% epoch-1.1 ptQwen3.6-Flash
SimpleQA Verified32.2% epoch15.9% epoch+16.3 ptGLM-4.7
Only GLM-4.7 reports · 1
LMArena Elo1435.9 not reported
Only Qwen3.6-Flash reports · 1
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported17.2% 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 GLM-4.7 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

SpecGLM-4.7Qwen3.6-FlashEdge
Context window200K tokens1M tokensQwen3.6-Flash
Max output131K tokens
Input price / 1M$0.6 $0.165 Qwen3.6-Flash
Output price / 1M$2.2 $0.99 Qwen3.6-Flash
Cached input / 1M$0.11
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$2.8$1.16Qwen3.6-Flash
Modalitiestexttext · visionQwen3.6-Flash
Released2025-12-222026-04-16
Cited benchmark scores44
Reliability

Provider 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 GLM-4.7 and Qwen3.6-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.