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GLM-4.7-FlashXvsQwen3.8 27B

GLM-4.7-FlashX and Qwen3.8 27B do not yet share a public benchmark, so quality cannot be compared apples-to-apples. GLM-4.7-FlashX is 4.5x cheaper per token. Qwen3.8 27B has the larger context window (262K 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-FlashX
4.5x cheaper, input + output
Larger context
Qwen3.8 27B
262K tokens
Provider uptime (30d)
— · —
Z.ai · Qwen
text
Context
200K
Max out
131K
Input /1M
$0.07
Output /1M
$0.4
Cached /1M
$0.01
Scores
0 · 0 core
Qwen3.8 27B
Qwen · released 2026-08-14
textvision
Context
262K
Max out
Input /1M
$0.424
Output /1M
$1.7
Cached /1M
Scores
4 · 3 core
Quality

Benchmark matrix

BenchmarkGLM-4.7-FlashXQwen3.8 27BΔEdge
Reported by both · 0
No public benchmark is reported for both models yet.
Only GLM-4.7-FlashX reports · 0
GLM-4.7-FlashX reports nothing Qwen3.8 27B does not.
Only Qwen3.8 27B reports · 4
GPQA Diamondnot reported89.2%
LMArena Elonot reported1439.3
SWE-Bench Pronot reported61.7%
Terminal-Bench 2.1not reported73%
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-FlashX minus Qwen3.8 27B 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-4.7-FlashXQwen3.8 27BEdge
Context window200K tokens262K tokensQwen3.8 27B
Max output131K tokens
Input price / 1M$0.07 $0.424 GLM-4.7-FlashX
Output price / 1M$0.4 $1.7 GLM-4.7-FlashX
Cached input / 1M$0.01
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0.47$2.12GLM-4.7-FlashX
Modalitiestexttext · visionQwen3.8 27B
Released2026-08-14
Cited benchmark scores04
Reliability

Provider status

All providers
More matchups

Qwen3.8 27B vs …

Built by Respan
Which one wins on your data?

Public benchmarks are a starting point. Run GLM-4.7-FlashX and Qwen3.8 27B on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.