Compare / head-to-head
DeepSeek V3vsGLM-5.2
GLM-5.2 leads 2 of 2 shared benchmarks. GLM-5.2 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 2
GLM-5.2 leads
Cheaper per token
—
list price, input + output
Larger context
GLM-5.2
1M tokens
Provider uptime (30d)
100% · —
DeepSeek · Z.ai
DeepSeek V3
DeepSeek · released 2024-12-26
text
- Context
- 128K
- Max out
- 8K
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 8 · 7 core
Quality
Benchmark matrix
2 shared · 5 only DeepSeek V3 · 23 only GLM-5.2| Benchmark | DeepSeek V3 | GLM-5.2 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 2 | ||||
| GPQA Diamond | 59.1% ↗ | 91.9% ↗epoch | -32.8 pt | GLM-5.2 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 15.8% ↗epoch | 86.4% ↗epoch | -70.6 pt | GLM-5.2 |
| Only DeepSeek V3 reports · 5 | ||||
| SWE-bench Verified | 42% ↗ | not reported | — | — |
| MMLU | 88.5% ↗ | not reported | — | — |
| MMLU-Pro | 75.9% ↗ | not reported | — | — |
| AIME 2025 | 25% ↗matharena | not reported | — | — |
| LMArena Elo | 1332.4 ↗ | not reported | — | — |
| Only GLM-5.2 reports · 23 | ||||
| AIME 2026 | not reported | 90% ↗matharena ⚠ | — | — |
| Agents' Last Exam (ALE-CLI) | not reported | 23.8% ↗ | — | — |
| AutomationBench v1.0.6 | not reported | 26.2% ↗ | — | — |
| CyberGym | not reported | 77.2% ↗ | — | — |
| DeepSWE v1.1 | not reported | 46.2% ↗ | — | — |
| ExploitBench | not reported | 24.4% ↗ | — | — |
| ExploitGym 2h | not reported | 29 ↗ | — | — |
| ExploitGym 6h | not reported | 39 ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 29.3% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 59.2% ↗epoch | — | — |
| FrontierSWE | not reported | 67.5% ↗ | — | — |
| GDPval-AA v2 | not reported | 1508 ↗ | — | — |
| HLE (with tools) | not reported | 54.7% ↗ | — | — |
| NL2Repo | not reported | 48.9% ↗ | — | — |
| PostTrainBench | not reported | 31.7% ↗ | — | — |
| ProgramBench (Almost Solved) | not reported | 9.5% ↗ | — | — |
| SimpleQA Verified | not reported | 34.2% ↗epoch | — | — |
| SWE-Bench Pro | not reported | 62.1% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 78.7% ↗epoch | — | — |
| SWE-Marathon v1.1 | not reported | 19.4% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 81% ↗ | — | — |
| Terminal-Bench 3.0 | not reported | 4.6% ↗ | — | — |
| Toolathlon Verified | not reported | 59.9% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is DeepSeek V3 minus GLM-5.2 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | DeepSeek V3 | GLM-5.2 | Edge |
|---|---|---|---|
| Context window | 128K tokens | 1M tokens | GLM-5.2 |
| Max output | 8K tokens | 131K tokens | GLM-5.2 |
| Input price / 1M | — | $1.4 ↗ | — |
| Output price / 1M | — | $4.4 ↗ | — |
| Cached input / 1M | — | $0.26 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $5.8 | — |
| Modalities | text | text | Tie |
| Released | 2024-12-26 | 2026-06-24 | — |
| Cited benchmark scores | 8 | 26 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
DeepSeek V3 vs …
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GLM-5.2 vs …
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Which one wins on your data?
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