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Compare / head-to-head

GLM-4.7vsQwen3.7-Max

GLM-4.7 and Qwen3.7-Max do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GLM-4.7 is 2.4x cheaper per token. Qwen3.7-Max has the larger context window (1M tokens).

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

Shared benchmarks
0
no overlap yet
Cheaper per token
GLM-4.7
2.4x cheaper, input + output
Larger context
Qwen3.7-Max
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
Qwen3.7-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

BenchmarkGLM-4.7Qwen3.7-MaxΔEdge
Reported by both · 0
No public benchmark is reported for both models yet.
Only GLM-4.7 reports · 4
GPQA Diamond83.3% epochnot reported
LMArena Elo1435.9 not reported
OTIS Mock AIME 2024-2025 (Epoch AI run)83.3% epochnot reported
SimpleQA Verified32.2% epochnot reported
Only Qwen3.7-Max reports · 0
Qwen3.7-Max reports nothing GLM-4.7 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 GLM-4.7 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

SpecGLM-4.7Qwen3.7-MaxEdge
Context window200K tokens1M tokensQwen3.7-Max
Max output131K tokens
Input price / 1M$0.6 $1.65 GLM-4.7
Output price / 1M$2.2 $4.95 GLM-4.7
Cached input / 1M$0.11
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$2.8$6.6GLM-4.7
Modalitiestexttext · visionQwen3.7-Max
Released2025-12-222026-05-20
Cited benchmark scores40
Reliability

Provider status

All providers
Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run GLM-4.7 and Qwen3.7-Max on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.