DeepSeek V4 Pro 0813 or GLM-5: which to choose?

What are we comparing?

DeepSeek V4 Pro 0813 and GLM-5 are two open-weight models that you can install on your own servers, one from DeepSeek, the other from Zhipu AI (Z.ai). DeepSeek V4 Pro 0813 was released on August 13, 2026, GLM-5 on February 12, 2026.

All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.

Which one is more capable?

On our capability index, DeepSeek V4 Pro 0813 scores 72.2 out of 100 and GLM-5 77.2. GLM-5 leads by 5 points.

On the 2 benchmarks reported for both, DeepSeek V4 Pro 0813 wins 2 times and GLM-5 0:

• GPQA Diamond (PhD-level science questions): DeepSeek V4 Pro 0813 91.7%, GLM-5 87.8%
• OTIS Mock AIME (competition mathematics problems): DeepSeek V4 Pro 0813 98.6%, GLM-5 80%

Which one costs less?

DeepSeek V4 Pro 0813 costs $0.66 per million input tokens and $1.98 per million output tokens; GLM-5 costs $0.60 and $2.69.

For a typical agent task (read 20,000 tokens, write 2,000), expect $0.017 with DeepSeek V4 Pro 0813 versus $0.017 with GLM-5. The cost is almost the same.

Run the numbers with your own volumes in the agent cost calculator.

Context and capabilities

DeepSeek V4 Pro 0813 reads more in one go: 1,048,576 tokens of context (roughly 1,573 pages), versus 204,800 for GLM-5.

Reasoning mode: DeepSeek V4 Pro 0813 yes, GLM-5 yes. Tool calling: DeepSeek V4 Pro 0813 yes, GLM-5 yes. Image input: DeepSeek V4 Pro 0813 no, GLM-5 no.

Both publish their weights: you can host them yourself.

In short

Our reading of the data:

• Choose DeepSeek V4 Pro 0813 for a larger context window and a more recent release.
• Choose GLM-5 for a higher capability index.

This verdict relies on public figures; it does not replace a trial on your own tasks.