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GLM-4.7-FlashvsGPT-4.1 nano

GLM-4.7-Flash leads 2 of 2 shared benchmarks. GPT-4.1 nano has the larger context window (1.0M tokens).

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

Shared benchmarks
2 – 0
GLM-4.7-Flash leads
Cheaper per token
GLM-4.7-Flash
list price, input + output
Larger context
GPT-4.1 nano
1.0M tokens
Provider uptime (30d)
— · 94.2446%
Z.ai · OpenAI
text
Context
200K
Max out
131K
Input /1M
$0
Output /1M
$0
Cached /1M
$0
Scores
3 · 3 core
GPT-4.1 nano
OpenAI · released 2025-04-14
textvision
Context
1.0M
Max out
33K
Input /1M
$0.1
Output /1M
$0.4
Cached /1M
$0.025
Scores
7 · 5 core
Quality

Benchmark matrix

BenchmarkGLM-4.7-FlashGPT-4.1 nanoΔEdge
Reported by both · 2
GPQA Diamond60.5% epoch50.3% +10.2 ptGLM-4.7-Flash
OTIS Mock AIME 2024-2025 (Epoch AI run)58.3% epoch28.9% epoch+29.4 ptGLM-4.7-Flash
Only GLM-4.7-Flash reports · 1
LMArena Elo1352.2 not reported
Only GPT-4.1 nano reports · 4
MMLUnot reported80.1%
Aider Polyglotnot reported9.8%
AIME 2024not reported29.4%
SimpleQA Verifiednot reported6% 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-Flash minus GPT-4.1 nano 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-FlashGPT-4.1 nanoEdge
Context window200K tokens1.0M tokensGPT-4.1 nano
Max output131K tokens33K tokensGLM-4.7-Flash
Input price / 1M$0 $0.1 GLM-4.7-Flash
Output price / 1M$0 $0.4 GLM-4.7-Flash
Cached input / 1M$0 $0.025 GLM-4.7-Flash
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
$0$0.5GLM-4.7-Flash
Modalitiestexttext · visionGPT-4.1 nano
Released2025-04-14
Cited benchmark scores37
Reliability

Provider status

All providers
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Which one wins on your data?

Public benchmarks are a starting point. Run GLM-4.7-Flash and GPT-4.1 nano on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.