DeepSeek-V4.1-Flash vs GLM-5.2: Specs & Benchmark Comparison

DeepSeek-V4.1-Flash is developed by DeepSeek, while GLM-5.2 comes from Zhipu AI. GLM-5.2 was released in June 2026, and DeepSeek-V4.1-Flash followed 3 months later in September 2026. The two are similar in size, at about 552 billion and 753 billion parameters respectively.

The two models share 5 published benchmarks. DeepSeek-V4.1-Flash leads on 3 of them, GLM-5.2 on 2. The widest gaps are on Program Bench, where GLM-5.2 scores 63.7% against 20.3%; DeepSWE 1.1, where DeepSeek-V4.1-Flash scores 74.2% against 44.0%. Averaged across everything we track, DeepSeek-V4.1-Flash sits at 60.9% and GLM-5.2 at 60.9%.

DeepSeek-V4.1-Flash is the cheaper API at $0.30 per million input tokens and $1.20 per million output tokens, roughly 5 times cheaper than GLM-5.2 at $1.40 and $4.40. Both accept a context window of about 1M tokens. DeepSeek-V4.1-Flash accepts text and images as input, while GLM-5.2 accepts text.

CharacteristicDeepSeek-V4.1-FlashGLM-5.2
CompanyDeepSeekZhipu AI
Release DateSeptember 10, 2026June 16, 2026
Parameters552B753B
MultimodalYesNo
Context (input)1.0M1.0M
Context (output)393K131K
Input Price / 1M$0.30$1.40
Output Price / 1M$1.20$4.40
Average Score60.9%60.9%
Benchmarks
Program Bench20.3%63.7%
DeepSWE 1.174.2%44.0%
NL2Repo64.0%48.9%
Terminal-Bench 2.190.6%82.7%
GPQA Diamond90.9%91.0%

Visual Benchmark Comparison

DeepSeek-V4.1-Flash
GLM-5.2
Program Bench0.2 vs 0.6
0.2
0.6
DeepSWE 1.10.7 vs 0.4
0.7
0.4
NL2Repo0.6 vs 0.5
0.6
0.5
Terminal-Bench 2.10.9 vs 0.8
0.9
0.8
GPQA Diamond0.9 vs 0.9
0.9
0.9

Verdict

DeepSeek-V4.1-Flash leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: DeepSeek-V4.1-Flash — 0.6, GLM-5.2 — 0.6.

API Cost

DeepSeek-V4.1-Flash is 3.9x cheaper: input $0.30/1M vs $1.40/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

DeepSeek-V4.1-Flash is newer: released 9/10/2026 vs 6/16/2026.

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Frequently Asked Questions

Which is better for coding — DeepSeek-V4.1-Flash or GLM-5.2?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4.1-Flash or GLM-5.2?
DeepSeek-V4.1-Flash is cheaper for input: $0.30 per 1M tokens vs $1.40.
Which has a larger context window — DeepSeek-V4.1-Flash or GLM-5.2?
DeepSeek-V4.1-Flash supports a larger context: 1,048,576 tokens vs 1,048,576.

The DeepSeek-V4.1-Flash and GLM-5.2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4.1-Flash or GLM-5.2 page. See also the complete list of AI model comparisons.