Model Comparison
DeepSeek R1 Distill Llama 70B vs GLM-4.5Which is better in 2026?
GLM-4.5 significantly outperforms across most benchmarks. DeepSeek R1 Distill Llama 70B is 4.0x cheaper per token.
Verdict: DeepSeek R1 Distill Llama 70B vs GLM-4.5 — which is better?
DeepSeek R1 Distill Llama 70B (by DeepSeek) and GLM-4.5 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while GLM-4.5 is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500). GLM-4.5 significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Llama 70B is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-4.5 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Llama 70B if…
- cost matters — it's about 4.0x cheaper per token
Choose GLM-4.5 if…
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Llama 70B outperforms in 0 benchmarks, while GLM-4.5 is better at 4 benchmarks (AIME 2024, GPQA, LiveCodeBench, MATH-500).
GLM-4.5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 4.0x cheaper than GLM-4.5 ($0.40/1M tokens).
For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 4.0x cheaper than GLM-4.5 ($1.60/1M tokens).
In conclusion, GLM-4.5 is more expensive than DeepSeek R1 Distill Llama 70B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-4.5 has 284.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 402.8% larger.
Context Window
Maximum input and output token capacity
GLM-4.5 accepts 131,072 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Llama 70B is limited to 128,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GLM-4.5 was released on 2025-07-28.
GLM-4.5 is 6 months newer than DeepSeek R1 Distill Llama 70B.
Jan 20, 2025
1.4 years ago
Jul 28, 2025
10 months ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Llama 70B is available from DeepInfra. GLM-4.5 is available from DeepInfra, Fireworks, Novita.
DeepSeek R1 Distill Llama 70B
GLM-4.5
Outputs Comparison
Key Takeaways
GLM-4.5
View detailsZhipu AI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Llama 70B vs GLM-4.5.