DeepSeek R1 (0528) vs GLM-4.6

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

DeepSeek R1 (0528)

DeepSeek · May 2025

67.8

The open reasoning model that started it all — RL-trained chain-of-thought, MIT licensed, and a research landmark.

GLM-4.6

Z.ai (Zhipu) · Sep 2025

63.9

The budget coding-agent favorite of late 2025 — near-Sonnet coding utility with MIT weights and a $3/month plan.

The verdict

DeepSeek R1 (0528) wins 2 of the 4 benchmarks these models share, against 1 for GLM-4.6. DeepSeek R1 (0528) is about 1.0x cheaper per blended million tokens (3:1 input:output mix). GLM-4.6 also takes 200K of context versus 128K for DeepSeek R1 (0528).

Benchmark head-to-head 21

GPQA Diamond
81%~81%
DeepSeek R1 (0528)GLM-4.6
AIME 2025
87.5%~93.9%
DeepSeek R1 (0528)GLM-4.6
HLE
17.7%~17.2%
DeepSeek R1 (0528)GLM-4.6
MMLU-Pro
84.8%~82.8%
DeepSeek R1 (0528)GLM-4.6

Specs & pricing

DeepSeek R1 (0528)GLM-4.6
modhub Index67.863.9
Input price / 1M$0.55$0.6
Output price / 1M$2.19$2.2
Context window128K200K
Max output64K128K
Open weightsyes (MIT)yes (MIT)
Reasoning modelyesyes
Multimodal inputtexttext
Knowledge cutoffMar 2025Jul 2025
ReleasedMay 2025Sep 2025
Example monthly cost*$8.79$9.30

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, DeepSeek R1 (0528) or GLM-4.6?
DeepSeek R1 (0528) wins 2 of the 4 benchmarks these models share, against 1 for GLM-4.6. DeepSeek R1 (0528) is about 1.0x cheaper per blended million tokens (3:1 input:output mix). GLM-4.6 also takes 200K of context versus 128K for DeepSeek R1 (0528).
Which is cheaper, DeepSeek R1 (0528) or GLM-4.6?
DeepSeek R1 (0528) costs $0.55/$2.19 per million input/output tokens, while GLM-4.6 costs $0.6/$2.2. For a typical workload of 10M input and 1.5M output tokens per month, that's $8.79 versus $9.30.
Which model is better for coding, DeepSeek R1 (0528) or GLM-4.6?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

More comparisons