Compare / head-to-head
DeepSeek V3.2-Specialevs
GLM-5
GLM-5 leads 4 of 4 shared benchmarks.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 4
GLM-5 leads
Cheaper per token
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list price, input + output
Larger context
—
unknown
Providers
2 providers
DeepSeek · Z.ai
DeepSeek V3.2-Speciale
DeepSeek · released 2025-12-01
text
- Context
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- Max out
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- Input /1M
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- Output /1M
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- Cached /1M
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- Scores
- 9 · 4 core
Quality
Benchmark matrix
4 shared · 5 only DeepSeek V3.2-Speciale · 13 only GLM-5| Benchmark | DeepSeek V3.2-Speciale | GLM-5 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| GPQA Diamond | 85.7% ↗ | 87.8% ↗epoch run | -2.1 pt | GLM-5 |
| AIME 2025 | 96% ↗ | 96.7% ↗matharena ⚠ | -0.7 pt | GLM-5 |
| SimpleBench (SimpleBench) | 52.6% ↗ | 53.2% ↗ | -0.6 pt | GLM-5 |
| WeirdML (Håvard Tveit Ihle) | 46.7% ↗ | 48.2% ↗ | -1.5 pt | GLM-5 |
| Only DeepSeek V3.2-Speciale reports · 5 | ||||
| HLE (text-only) | 30.6% ↗ | not reported | — | — |
| HMMT Feb 2025 | 99.2% ↗ | not reported | — | — |
| HMMT Nov 2025 | 94.4% ↗ | not reported | — | — |
| IMOAnswerBench | 84.5% ↗ | not reported | — | — |
| LiveCodeBench (Pass@1-COT) | 88.7% ↗ | not reported | — | — |
| Only GLM-5 reports · 13 | ||||
| SWE-bench Verified | not reported | 77.8% ↗ | — | — |
| AIME 2026 | not reported | 96.7% ↗matharena ⚠ | — | — |
| LMArena Elo | not reported | 1446.3 ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 10% ↗epoch run | — | — |
| LMArena WebDev (LMArena) | not reported | 1434 ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 80% ↗epoch run | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 72.1% ↗epoch run | — | — |
| tau2-bench Airline (Sierra) | not reported | 82.5% ↗ | — | — |
| tau2-bench Banking Knowledge (Sierra) | not reported | 9.8% ↗ | — | — |
| tau2-bench Retail (Sierra) | not reported | 73.7% ↗ | — | — |
| tau2-bench Telecom (Sierra) | not reported | 86.8% ↗ | — | — |
| Terminal-Bench 2.0 | not reported | 56.2% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 4432.12 ↗ | — | — |
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 V3.2-Speciale minus GLM-5 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 V3.2-Speciale | GLM-5 | Edge |
|---|---|---|---|
| Context window | — | 200K tokens | — |
| Max output | — | 131K tokens | — |
| Input price / 1M | — | $1 ↗ | — |
| Output price / 1M | — | $3.2 ↗ | — |
| Cached input / 1M | — | $0.2 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $4.2 | — |
| Modalities | text | text | Tie |
| Released | 2025-12-01 | — | — |
| Cited benchmark scores | 9 | 21 | — |
Reliability
Provider status
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DeepSeek V3.2-Speciale vs …
Models sharing the most benchmarksMore matchups
GLM-5 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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