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GLM-5.3 vs DeepSeek V4 Pro
GLM-5.3 scores higher than DeepSeek V4 Pro on all 5 public leaderboards that rate both. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, GLM-5.3 is at 48.1 and DeepSeek V4 Pro at 23.3 (out of 100). On each maker's API, GLM-5.3 costs $1.40 / $4.40 per 1M tokens (input / output) and DeepSeek V4 Pro $0.66 / $1.98.
Scores as published by each board; table composed November 12, 2026.
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Leaderboard by leaderboard
| Board | GLM-5.3 | DeepSeek V4 Pro | Higher |
|---|---|---|---|
| LMArena Elo (community votes) | 1,622.3 | 1,581.2 | GLM-5.3 |
| SimpleBench AVG@5 % (private set) | 66.2 | 50.9 | GLM-5.3 |
| Vals AI Vals Index accuracy % · weighted finance + coding tasks | 59.8 | 53 | GLM-5.3 |
| Artificial Analysis intelligence index · measured runs only | 31.7 | 23.1 | GLM-5.3 |
| Epoch AI Epoch Capabilities Index (ECI) · many benchmarks on one scale | 157.1 | 155.9 | GLM-5.3 |
Raw scores are each board's own scale, so compare within a row, not across rows. Full table: the bench index.
For coding
On the ArtificialWatch coding index, GLM-5.3 is at 51.5 (#20 of 47) and DeepSeek V4 Pro at 39.5 (#26). GLM-5.3 scores higher on 1 of the 2 coding boards that rate both and DeepSeek V4 Pro on 1.
| Coding board | GLM-5.3 | DeepSeek V4 Pro |
|---|---|---|
| LMArena · Coding | 1,499 | 1,469.3 |
| Vals Vibe Code Bench | 78.1 | 82.3 |
GLM-5.3 at a glance
- Developer
- Zhipu AI
- Status
- Live since August 14, 2026
- API price
- $1.40 input / $4.40 output per 1M tokens · Z.AI, glm-5.3
- Context window
- 1M tokens
Live - same 743B base as 5.2, every gain from post-training · tops CyberGym · open weights on Hugging Face (zai-org/GLM-5.3, 141 safetensors files, public when we read it Sep 25; repo created Aug 25) · Anthropic research (Sep 29): builds end-to-end exploits near Claude Mythos Preview's rate (ExploitBench 50 of 410 vs 56 of 410), and its safeguards fell to simple bypasses 64-100% of the time · Epoch AI report (Oct 29): built one-click file-reading exploits for all six Firefox releases Sep 17-Oct 26 from published-but-unshipped fixes, about $1,000 each, with no refusals at any provider.
Epoch AI: open-weight GLM 5.3 built working Firefox exploits from security fixes that had not shipped yet, for about $1,000 each
2026-10-30 · An open-weight model can now turn browser security fixes that are public but not yet shipped into working exploits on its own, according to a report Epoch AI published October 29.
Anthropic: open-weights GLM-5.3 nearly matches Claude Mythos Preview at building exploits, and its safeguards are easy to strip
2026-09-29 · Anthropic published research on September 29 testing Z.ai's GLM-5.3, an open-weights model anyone can download, on offensive cyber tasks. Its finding: GLM-5.3 can build working end-to-end exploits at close to the rate of Claude Mythos Preview, the model Anthropic released only to vetted defenders.
DeepSeek V4 Pro at a glance
- Developer
- DeepSeek
- Status
- Live since April 24, 2026
- API price
- $0.66 input / $1.98 output per 1M tokens · DeepSeek, deepseek-v4-pro
- Context window
- 1.05M tokens
Live · open weights · superseded by V4.1 Flash — per DeepSeek's own changelog rather than our own reading, deepseek-v4-flash routes to V4.1 Flash; the matching deepseek-v4-pro cutover set for 04:00 UTC Sep 14 was reversed on its eve and V4 Pro is still served at unchanged billing, which is search-grade too — but our own bench refresh still scored deepseek-v4-pro-0813 as a separate model on Sep 16 · our sweep read the bare deepseek-flash alias on Sep 10 at $0.15/$0.60 per 1M, 1M ctx.
DeepSeek V4-Pro lands at $0.435/$0.87 — and "model names remain unchanged" hides a 2.7x price fork
2026-08-13 · DeepSeek launched V4-Pro today on app, web and API. The headline features are agent upgrades, selectable reasoning effort across V4-Pro and V4-Flash, and native OpenAI Responses API support optimised for Codex. The line worth reading twice is the quiet one: "Model names remain unchanged."
GLM-5.3 vs DeepSeek V4 Pro: quick answers
Which is better, GLM-5.3 or DeepSeek V4 Pro?
It depends on what you measure. GLM-5.3 scores higher than DeepSeek V4 Pro on all 5 public leaderboards that rate both. GLM-5.3's widest lead is on Vals AI. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, GLM-5.3 is at 48.1 and DeepSeek V4 Pro at 23.3 (out of 100).
Which is newer, GLM-5.3 or DeepSeek V4 Pro?
GLM-5.3. It went live on August 14, 2026, 112 days after DeepSeek V4 Pro (April 24, 2026).
Which is cheaper, GLM-5.3 or DeepSeek V4 Pro?
DeepSeek V4 Pro is cheaper on both input and output. On each vendor's own API, GLM-5.3 is $1.40 input / $4.40 output per million tokens and DeepSeek V4 Pro is $0.66 input / $1.98 output per million tokens. Prices as published in the models.dev catalog, as of 2026-11-12.
Which has the bigger context window, GLM-5.3 or DeepSeek V4 Pro?
DeepSeek V4 Pro, at 1.05M tokens against GLM-5.3's 1M, as each vendor lists it.
How do GLM-5.3 and DeepSeek V4 Pro compare for coding?
On the ArtificialWatch coding index, GLM-5.3 is at 51.5 (#20 of 47) and DeepSeek V4 Pro at 39.5 (#26). GLM-5.3 scores higher on 1 of the 2 coding boards that rate both and DeepSeek V4 Pro on 1.
Who makes GLM-5.3 and DeepSeek V4 Pro?
GLM-5.3 is from Zhipu AI; DeepSeek V4 Pro is from DeepSeek.
Where do these numbers come from?
Each score is the leaderboard's own published figure, read by ArtificialWatch (table composed November 12, 2026). Boards measure different things, so raw scores are only comparable within a row.
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