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DeepSeek R1 Distill Llama 70B vs GLM-5.3

Comparing DeepSeek R1 Distill Llama 70B and GLM-5.3 across benchmarks, pricing, and capabilities.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B and GLM-5.3 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, DeepSeek R1 Distill Llama 70B is roughly 12.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 70B

  • cost matters — it's about 12.3x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 70B
DeepSeek
GLM-5.3
Zhipu AI
Benchmark wins
—
—
Input price
$0.10 / M
$1.40 / M
Output price
$0.40 / M
$4.40 / M
Context window
128,000
1,000,000
Released
Jan 2025
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Llama 70B and GLM-5.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

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 14.0x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 11.0x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 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
Mon Aug 24 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

682.4B diff

GLM-5.3 has 682.4B more parameters than DeepSeek R1 Distill Llama 70B, making it 966.6% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 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-5.3
Input1,000,000 tokens
Output128,000 tokens
Mon Aug 24 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 19 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.6 years ago

GLM-5.3

Aug 14, 2026

1 weeks ago

1.6yr 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-5.3 is available from ZAI.

DeepSeek R1 Distill Llama 70B

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

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Llama 70B and GLM-5.3 side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs GLM-5.3.

Which is better, DeepSeek R1 Distill Llama 70B or GLM-5.3?

DeepSeek R1 Distill Llama 70B (DeepSeek) and GLM-5.3 (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-5.3 in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is DeepSeek R1 Distill Llama 70B cheaper than GLM-5.3?

DeepSeek R1 Distill Llama 70B is 14.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and GLM-5.3?

DeepSeek R1 Distill Llama 70B supports 128K tokens and GLM-5.3 supports 1.0M 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-5.3?

Key differences include context window (128K vs 1.0M), input pricing ($0.10 vs $1.40/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and GLM-5.3?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and GLM-5.3 is developed by Zhipu AI.

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