# DeepSeek V4 Pro vs GLM 5.3

As of October 21, 2026, GLM 5.3 costs 6% more per input token than DeepSeek V4 Pro ($1.40 vs $1.32 per 1M), and both have a 1M-token context window.

- Page: https://models.litellm.ai/compare/deepseek-v4-pro-vs-glm-5.3
- DeepSeek V4 Pro: https://models.litellm.ai/models/deepseek-v4-pro
- GLM 5.3: https://models.litellm.ai/models/glm-5.3

## Side by side

| | DeepSeek V4 Pro | GLM 5.3 |
|---|---|---|
| Input, per 1M tokens | $1.32 | $1.40 |
| Output, per 1M tokens | $3.96 | $4.40 |
| Cache read, per 1M tokens | $0.044 | $0.26 |
| Cache write, per 1M tokens | $0 | $0 |
| Context window | 1,000,000 tokens | 1,000,000 tokens |
| Max output | 393,216 tokens | 128,000 tokens |
| Image input | No | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 18 | 17 |
| Price shown is from | DeepSeek | Z.ai |
| Added to LiteLLM | June 2026 | August 27, 2026 |

Headline prices in USD per 1M tokens, from LiteLLM's model price file.

## Cheapest provider for each

- DeepSeek V4 Pro: Sail at $0.92 input per 1M tokens (`sail/deepseek-ai/DeepSeek-V4-Pro-0813`)
- GLM 5.3: Sail at $0.98 input per 1M tokens (`sail/zai-org/GLM-5.3`)

## Benchmark scores

| Benchmark | DeepSeek V4 Pro | GLM 5.3 |
|---|---|---|
| FrontierCode (Coding and agents) | 17.6% (none) | 40.1% (max) |
| APEX-Agents (Coding and agents) | 47.3% | 56.6% |
| GPQA Diamond (Reasoning and knowledge) | 90.9% (high) | 90.9% (max) |
| SimpleQA Verified (Reasoning and knowledge) | 47.0% (max) | 41.0% (max) |
| FrontierMath (tiers 1-3) (Math) | 45.3% (max) | 68.8% (max) |
| FrontierMath (tier 4) (Math) | 2.4% (max) | 29.3% (max) |
| OTIS Mock AIME 2024-2025 (Math) | 96.7% (max) | 91.1% (max) |

From the Epoch AI Benchmarking Hub (https://epoch.ai/benchmarks), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), data as of August 28, 2026: Epoch's own runs and results it collects from each benchmark's leaderboard. Higher is better.

## When to pick which

- DeepSeek V4 Pro: Costs 6% less per input token: $1.32 vs $1.40 per 1M.
- DeepSeek V4 Pro: Returns up to 393,216 tokens per response, vs 128,000.
- GLM 5.3: Supports image input, which DeepSeek V4 Pro doesn't list.

## FAQ

### Which is cheaper, DeepSeek V4 Pro or GLM 5.3?

DeepSeek V4 Pro is cheaper at 3 input tokens per output token: $1.98 per 1M tokens blended ($1.32 input, $3.96 output), versus $2.15 ($1.40 and $4.40) for GLM 5.3, as of October 21, 2026.

### Which has the larger context window, DeepSeek V4 Pro or GLM 5.3?

Both have a 1,000,000-token context window.

### Can I switch from DeepSeek V4 Pro to GLM 5.3 without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "deepseek-v4-pro" to "zai/glm-5.3", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.