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Compare / head-to-head

GLM-4.6vsGPT-5

GPT-5 leads 1 of 1 shared benchmark. GLM-4.6 is 4x cheaper per token. GPT-5 has the larger context window (400K tokens).

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

Shared benchmarks
0 – 1
GPT-5 leads
Cheaper per token
GLM-4.6
4x cheaper, input + output
Larger context
GPT-5
400K tokens
Provider uptime (30d)
— · 94.2446%
Z.ai · OpenAI
text
Context
200K
Max out
131K
Input /1M
$0.6
Output /1M
$2.2
Cached /1M
$0.11
Scores
2 · 2 core
GPT-5
OpenAI · released 2025-08-07
textvision
Context
400K
Max out
128K
Input /1M
$1.25
Output /1M
$10
Cached /1M
$0.125
Scores
9 · 8 core
Quality

Benchmark matrix

BenchmarkGLM-4.6GPT-5ΔEdge
Reported by both · 1
AIME 202591.7% matharena94.6% -2.9 ptGPT-5
Only GLM-4.6 reports · 1
LMArena Elo1440.5 not reported
Only GPT-5 reports · 7
SWE-bench Verifiednot reported74.9%
GPQA Diamondnot reported86.2% epoch
FrontierMath Tier 4 v2 (Epoch AI run)not reported22% epoch
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported55.4% epoch
OTIS Mock AIME 2024-2025 (Epoch AI run)not reported91.4% epoch
SimpleQA Verifiednot reported50.1% epoch
SWE-bench Verified (Epoch AI run)not reported73.6% 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-4.6 minus GPT-5 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-4.6GPT-5Edge
Context window200K tokens400K tokensGPT-5
Max output131K tokens128K tokensGLM-4.6
Input price / 1M$0.6 $1.25 GLM-4.6
Output price / 1M$2.2 $10 GLM-4.6
Cached input / 1M$0.11 $0.125 GLM-4.6
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$2.8$11.25GLM-4.6
Modalitiestexttext · visionGPT-5
Released2025-08-07
Cited benchmark scores29
Reliability

Provider status

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

Public benchmarks are a starting point. Run GLM-4.6 and GPT-5 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.