Which is better for coding — GLM-4.7-Flash or GPT-5.4 nano?

Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.

Which model is cheaper — GLM-4.7-Flash or GPT-5.4 nano?

GLM-4.7-Flash is cheaper for input: $0.07 per 1M tokens vs $0.12.

Which has a larger context window — GLM-4.7-Flash or GPT-5.4 nano?

GPT-5.4 nano supports a larger context: 400,000 tokens vs 128,000.

GLM-4.7-Flash vs GPT-5.4 nano: Specs & Benchmark Comparison

Characteristic	GLM-4.7-Flash	GPT-5.4 nano
Company	Zhipu AI	OpenAI
Release Date	January 18, 2026	March 1, 2026
Parameters	30B	—
Multimodal	No	Yes
Context (input)	128K	400K
Context (output)	16K	128K
Input Price / 1M	$0.07	$0.12
Output Price / 1M	$0.40	$1.50
Average Score	0.6	0.7
Benchmarks
GPQA	0.8	0.8

Visual Benchmark Comparison

GLM-4.7-Flash

GPT-5.4 nano

GPQA0.8 vs 0.8

0.8

Verdict

GPT-5.4 nano leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-4.7-Flash — 0.6, GPT-5.4 nano — 0.7.

API Cost

GLM-4.7-Flash is 3.4x cheaper: input $0.07/1M vs $0.12/1M tokens.

Context Window

GPT-5.4 nano supports a larger context: 400K vs 128K tokens.

Recency

GPT-5.4 nano is newer: released 3/1/2026 vs 1/18/2026.

More About These Models

GLM-4.7-Flash

Zhipu AI — specs, benchmarks, API

GPT-5.4 nano

OpenAI — specs, benchmarks, API

Related Comparisons

GLM-4.7-Flash vs GLM-5 GLM-4.5 vs GLM-4.7-Flash GLM-4.7-Flash vs GPT-5.2 Codex GLM-4.7-Flash vs Mercury 2 GLM-4.7-Flash vs MiniMax M2.5 GLM-4.7-Flash vs GPT-5.3 Codex

All model comparisons →

The GLM-4.7-Flash and GPT-5.4 nano comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-4.7-Flash or GPT-5.4 nano page. See also the complete list of AI model comparisons.