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Compare / head-to-head

GLM-4.7-FlashXvsLongCat 2.0

GLM-4.7-FlashX and LongCat 2.0 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. LongCat 2.0 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
list price, input + output
Larger context
LongCat 2.0
1M tokens
Provider uptime (30d)
— · —
Z.ai · Meituan LongCat
text
Context
200K
Max out
131K
Input /1M
$0.07
Output /1M
$0.4
Cached /1M
$0.01
Scores
0 · 0 core
LongCat 2.0
Meituan LongCat · released 2026-06-30
text
Context
1M
Max out
Input /1M
Output /1M
Cached /1M
Scores
10 · 4 core
Quality

Benchmark matrix

BenchmarkGLM-4.7-FlashXLongCat 2.0ΔEdge
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 LongCat 2.0 does not.
Only LongCat 2.0 reports · 10
GPQA Diamondnot reported88.9%
BrowseCompnot reported79.9%
FORTEnot reported73.2%
IFEvalnot reported90%
IMO-AnswerBenchnot reported81.8%
RWSearchnot reported78.8%
SWE-bench Multilingualnot reported77.3%
SWE-bench Pronot reported59.5%
Terminal-Bench 2.1not reported70.8%
Writing Benchnot reported83.8%
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 LongCat 2.0 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-FlashXLongCat 2.0Edge
Context window200K tokens1M tokensLongCat 2.0
Max output131K tokens
Input price / 1M$0.07
Output price / 1M$0.4
Cached input / 1M$0.01
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0.47
ModalitiestexttextTie
Released2026-06-30
Cited benchmark scores010
Reliability

Provider status

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

Public benchmarks are a starting point. Run GLM-4.7-FlashX and LongCat 2.0 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.