AI Flash Report

DeepSeek V3.2 vs GLM-5: Benchmarks, Pricing & Capabilities Compared

TL;DR — DeepSeek V3.2 wins for long-context · GLM-5 wins for cost.

DeepSeek V3.2 DeepSeek
Released
2026-02-12
Context window
1M tokens
Input price
$0.27 / Mtok
Output price
$1.10 / Mtok
Key features
  • 1M+ token context window (10x expansion)
  • Improved reasoning capabilities
  • Open source release
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

Benchmark DeepSeek V3.2 GLM-5
MMLU 90.1% 88.7%

Pricing comparison

Metric DeepSeek V3.2 GLM-5
Input ($/Mtok) $0.27 $0.11
Output ($/Mtok) $1.10 $0.28
Cached input ($/Mtok) $0.07
Cost per 1M-token roundtrip (1M in + 1M out) $1.37 $0.39

Context window & modalities

Attribute DeepSeek V3.2 GLM-5
Context window 1M tokens 200K tokens
Input modalities text text, image
Output modalities text text
Knowledge cutoff 2025-09 2025-11

Verdict by use case

Coding
Insufficient data
Basis: SWE-bench

No shared coding benchmark.

Reasoning
→ DeepSeek V3.2
Basis: MMLU-Pro

DeepSeek V3.2 90.1% vs GLM-5 88.7% on MMLU-Pro.

Math
Insufficient data
Basis: MATH / AIME

No shared math benchmark.

Long context
→ DeepSeek V3.2
Basis: Context window

DeepSeek V3.2 1M tokens vs GLM-5 200K tokens.

Cost
→ GLM-5
Basis: Input $/Mtok

DeepSeek V3.2 $0.27/Mtok vs GLM-5 $0.11/Mtok input.

Changelog & releases

DeepSeek V3.2
Released 2026-02-12
Predecessor: deepseek-deepseek-v3
  • 10x context window expansion (128K → 1M+ tokens)
  • Sliding-window attention for long-context throughput
  • Improved chain-of-thought reasoning
  • Native FP8 inference support
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

Related comparisons