Seedance 2.0 vs GLM-5: Benchmarks, Pricing & Capabilities Compared
TL;DR — Seedance 2.0 wins for general use · GLM-5 wins for general use.
Seedance 2.0 ByteDance
- Released
- 2026-02-10
Key features
- Synchronized audio + video generation in one pass
- Lip-sync in 8+ languages
- 10-30x cheaper than Sora 2
GLM-5 Zhipu AI
- Released
- 2026-02-11
- Context window
- 200K tokens
- Input price
- $0.11 / Mtok
- Output price
- $0.28 / Mtok
Key features
- First frontier model trained on Huawei Ascend chips (no NVIDIA)
- #1 HLE score (50.4%)
- 1.2% hallucination rate via Slime RL
Benchmark comparison
No benchmarks reported on both models.
Pricing comparison
| Metric | Seedance 2.0 | GLM-5 |
|---|---|---|
| Input ($/Mtok) | — | $0.11 |
| Output ($/Mtok) | — | $0.28 |
| Cached input ($/Mtok) | — | — |
| Cost per 1M-token roundtrip (1M in + 1M out) | — | $0.39 |
Context window & modalities
| Attribute | Seedance 2.0 | GLM-5 |
|---|---|---|
| Context window | — | 200K tokens |
| Input modalities | text, image | text, image |
| Output modalities | video | text |
| Knowledge cutoff | 2025-12 | 2025-11 |
Verdict by use case
Coding
Insufficient data
Basis: SWE-bench
No shared coding benchmark.
Reasoning
Insufficient data
Basis: GPQA / MMLU
No shared reasoning benchmark.
Math
Insufficient data
Basis: MATH / AIME
No shared math benchmark.
Long context
Insufficient data
Basis: Context window
Context window not reported.
Cost
Insufficient data
Basis: Input $/Mtok
Input pricing not reported on both.
Changelog & releases
Seedance 2.0
Released 2026-02-10
GLM-5
Released 2026-02-11
- Trained entirely on Huawei Ascend 910B clusters (no NVIDIA)
- Slime RL fine-tuning drops hallucination rate to 1.2%
- 136x cheaper than Claude Opus 4.5 at comparable quality