Model Comparison

DeepSeek R1 Distill Llama 70B vs GLM-5Which is better in 2026?

Comparing DeepSeek R1 Distill Llama 70B and GLM-5 across benchmarks, pricing, and capabilities.

Verdict: DeepSeek R1 Distill Llama 70B vs GLM-5 — which is better?

DeepSeek R1 Distill Llama 70B (by DeepSeek) and GLM-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.

On price, DeepSeek R1 Distill Llama 70B is roughly 8.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 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 8.9x cheaper per token

Choose GLM-5 if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Llama 70B and GLM-5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Llama 70B costs less

For input processing, DeepSeek R1 Distill Llama 70B ($0.10/1M tokens) is 10.0x cheaper than GLM-5 ($1.00/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 8.0x cheaper than GLM-5 ($3.20/1M tokens).

In conclusion, GLM-5 is more expensive than DeepSeek R1 Distill Llama 70B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Jul 28 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

673.4B diff

GLM-5 has 673.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 953.8% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Zhipu AI
GLM-5
744.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
744.0B
GLM-5

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to DeepSeek R1 Distill Llama 70B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Tue Jul 28 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Llama 70B

MIT

Open weights

GLM-5

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GLM-5 was released on 2026-02-11.

GLM-5 is 13 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.5 years ago

GLM-5

Feb 11, 2026

5 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. GLM-5 is available from FriendliAI, ZAI.

DeepSeek R1 Distill Llama 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Zhipu AI
Larger context window (200,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 70B and GLM-5 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
GLM-5
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Llama 70B
Zhipu AI
GLM-5

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs GLM-5.

Which is better, DeepSeek R1 Distill Llama 70B or GLM-5?

DeepSeek R1 Distill Llama 70B (DeepSeek) and GLM-5 (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek R1 Distill Llama 70B compare to GLM-5 in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%.

Is DeepSeek R1 Distill Llama 70B cheaper than GLM-5?

DeepSeek R1 Distill Llama 70B is 10.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. GLM-5 costs $1.00/M input and $3.20/M output via friendli.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and GLM-5?

DeepSeek R1 Distill Llama 70B supports 128K tokens and GLM-5 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek R1 Distill Llama 70B and GLM-5?

Key differences include context window (128K vs 200K), input pricing ($0.10 vs $1.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and GLM-5?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and GLM-5 is developed by Zhipu AI.

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