# GLM-5.2 vs DeepSeek V4 Pro

> Markdown mirror of https://router.one/models/compare/glm-5-2-vs-deepseek-v4-pro for AI assistants and crawlers. Router One is an OpenAI-compatible LLM API gateway.

DeepSeek V4 Pro is the lower-priced of the two on Router One — about 63% less on a 1M-input + 1M-output mix. Both carry a 1M context window. GLM-5.2 answers on /v1/chat/completions; DeepSeek V4 Pro on /v1/chat/completions, /v1/messages (Claude Code) and /v1/responses (Codex CLI).

GLM-5.2 and DeepSeek V4 Pro compared on current per-token rates, context window, and capabilities — both callable through one OpenAI-compatible endpoint with per-request cost traces.

## GLM-5.2 vs DeepSeek V4 Pro: rates, context window, and capabilities

| Spec | GLM-5.2 | DeepSeek V4 Pro |
| --- | --- | --- |
| Input / 1M tokens | $2.40 | $1.315 |
| Output / 1M tokens | $8.40 | $2.63 |
| Cached input / 1M tokens | $0.60 | $1.315 |
| Context window | 1M | 1M |
| Capabilities | Chat, Streaming, Tool calling, Vision | Chat, Streaming, Tool calling |
| Detail page | [GLM-5.2](https://router.one/models/glm-5-2) | [DeepSeek V4 Pro](https://router.one/models/deepseek-v4-pro) |

## What does 1M tokens cost on GLM-5.2 vs DeepSeek V4 Pro?

For a workload of 1M input plus 1M output tokens at current rates: GLM-5.2 comes to $10.80, DeepSeek V4 Pro comes to $3.945 — DeepSeek V4 Pro is about 63% cheaper on this mix. Real workloads skew heavily toward input tokens, so weigh the input rate by your own ratio; the cached-input row above is the posted catalog rate for that model.

## Switch between GLM-5.2 and DeepSeek V4 Pro without changing code

Both models are behind the same OpenAI-compatible endpoint, so an A/B test is a one-string change — same key, same code, and every request traced with tokens, cost, and latency in the dashboard:

`compare.sh`

```bash
curl https://api.router.one/v1/chat/completions \
  -H "Authorization: Bearer sk-your-router-one-key" \
  -H "Content-Type: application/json" \
  -d '{"model": "glm-5.2", "messages": [{"role": "user", "content": "Hello"}]}'

# Same request, other model — change one string:
#   "model": "deepseek-v4-pro"
```

## FAQ

### Is GLM-5.2 cheaper than DeepSeek V4 Pro?

At current posted rates, DeepSeek V4 Pro is the cheaper of the two (input $2.40 vs $1.315, output $8.40 vs $2.63 per 1M tokens). Rates change; the /models page is the live source of truth.

### Can I switch between GLM-5.2 and DeepSeek V4 Pro without changing code?

Yes. Both are served through the same OpenAI-compatible endpoint, so switching is changing the model string in the request — the key, base URL, and request shape stay identical.

### Where do these numbers come from?

Specs and prices on this page render from the live Router One catalog — the same data as the /models page — and refresh with it. Pricing methodology is documented on /pricing-methodology. Rates on this page were read from the live catalog on 2026-08-26 (UTC) and refresh within the hour.

## More comparisons

- [DeepSeek V4 Pro vs GPT-5.4 mini](https://router.one/models/compare/deepseek-v4-pro-vs-gpt-5-4-mini)
- [Claude Sonnet 5 vs DeepSeek V4 Pro](https://router.one/models/compare/claude-sonnet-5-vs-deepseek-v4-pro)
- [Gemini 3 Pro vs DeepSeek V4 Pro](https://router.one/models/compare/gemini-3-pro-vs-deepseek-v4-pro)
- [DeepSeek V4 Pro vs DeepSeek V4 Flash](https://router.one/models/compare/deepseek-v4-pro-vs-deepseek-v4-flash)

## See also

- Canonical page: https://router.one/models/compare/glm-5-2-vs-deepseek-v4-pro
- All model comparisons: https://router.one/models/compare
- All models & prices: https://router.one/models (markdown: https://router.one/models.md)
- Pricing: https://router.one/pricing
- OpenAI-compatible API: https://router.one/openai-compatible-api
- Cost calculator: https://router.one/llm-cost-calculator
- Pricing methodology: https://router.one/pricing-methodology