The AI arena is free today

Open Superagent

DeepSeek R1 Distill Llama 70B vs Granite 3.3 8B Instruct

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.8 to 3.0. DeepSeek R1 Distill Llama 70B is 2.9x cheaper per token.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek R1 Distill Llama 70B leads the overall LLM Stats Score 14.8 to 3.0, ranking #214 overall.

In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Llama 70B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Llama 70B is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek R1 Distill Llama 70B

  • overall performance matters — it scores 14.8 and ranks #214 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • cost matters — it's about 2.9x cheaper per token

Choose Granite 3.3 8B Instruct

  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

DeepSeek R1 Distill Llama 70B
DeepSeek
Granite 3.3 8B Instruct
IBM
Core performance indexes
LLM Stats Score
14.8
#214
3.0
#292
Reasoning
15.0
#208
3.4
#282
Coding
8.6
#164
11.3
#143
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.10 / M
$0.50 / M
Output price
$0.40 / M
$0.50 / M
Context window
128,000
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Llama 70B
Granite 3.3 8B Instruct
Math
16.7#191
3.1#273
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Llama 70B · 14 for Granite 3.3 8B Instruct

2 shared

DeepSeek R1 Distill Llama 70B outperforms in 2 benchmarks (AIME 2024, MATH-500), while Granite 3.3 8B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Llama 70B significantly outperforms across most benchmarks.

Sun Aug 30 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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 5.0x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).

For output processing, DeepSeek R1 Distill Llama 70B ($0.40/1M tokens) is 1.3x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).

In conclusion, Granite 3.3 8B Instruct 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
Sun Aug 30 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Llama 70B
Input tokens$0.10
Output tokens$0.40
Best providerDeepinfra
IBM
Granite 3.3 8B Instruct
Input tokens$0.50
Output tokens$0.50
Best providerReplicate
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

62.6B diff

DeepSeek R1 Distill Llama 70B has 62.6B more parameters than Granite 3.3 8B Instruct, making it 782.5% larger.

DeepSeek
DeepSeek R1 Distill Llama 70B
70.6Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
70.6B
DeepSeek R1 Distill Llama 70B
8.0B
Granite 3.3 8B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. DeepSeek R1 Distill Llama 70B can generate longer responses up to 128,000 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.

DeepSeek
DeepSeek R1 Distill Llama 70B
Input128,000 tokens
Output128,000 tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Granite 3.3 8B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Llama 70B does not.

Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek R1 Distill Llama 70B

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Llama 70B is licensed under MIT, while Granite 3.3 8B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek R1 Distill Llama 70B

MIT

Open weights

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Llama 70B was released on 2025-01-20, while Granite 3.3 8B Instruct was released on 2025-04-16.

Granite 3.3 8B Instruct is 3 months newer than DeepSeek R1 Distill Llama 70B.

DeepSeek R1 Distill Llama 70B

Jan 20, 2025

1.6 years ago

Granite 3.3 8B Instruct

Apr 16, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while DeepSeek R1 Distill Llama 70B's cutoff date is not specified.

We can confirm Granite 3.3 8B Instruct's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek R1 Distill Llama 70B's cutoff date.

DeepSeek R1 Distill Llama 70B

—

Granite 3.3 8B Instruct

Apr 2024

Provider Availability

DeepSeek R1 Distill Llama 70B is available from DeepInfra. Granite 3.3 8B Instruct is available from Replicate.

DeepSeek R1 Distill Llama 70B

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

Granite 3.3 8B Instruct

replicate logo
Replicate
Input Price:Input: $0.50/1MOutput Price:Output: $0.50/1M
* 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 Granite 3.3 8B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Llama 70B
✓ Preferred
Granite 3.3 8B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Llama 70B vs Granite 3.3 8B Instruct.

Which is better, DeepSeek R1 Distill Llama 70B or Granite 3.3 8B Instruct?

DeepSeek R1 Distill Llama 70B leads the LLM Stats Score 14.8 to 3.0. DeepSeek R1 Distill Llama 70B is made by DeepSeek and Granite 3.3 8B Instruct is made by IBM. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Llama 70B compare to Granite 3.3 8B Instruct in benchmarks?

DeepSeek R1 Distill Llama 70B scores MATH-500: 94.5%, AIME 2024: 86.7%, GPQA: 65.2%, LiveCodeBench: 57.5%. Granite 3.3 8B Instruct scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, GSM8k: 80.9%.

Is DeepSeek R1 Distill Llama 70B cheaper than Granite 3.3 8B Instruct?

DeepSeek R1 Distill Llama 70B is 5.0x cheaper for input tokens. DeepSeek R1 Distill Llama 70B costs $0.10/M input and $0.40/M output via deepinfra. Granite 3.3 8B Instruct costs $0.50/M input and $0.50/M output via replicate.

What are the context window sizes for DeepSeek R1 Distill Llama 70B and Granite 3.3 8B Instruct?

DeepSeek R1 Distill Llama 70B supports 128K tokens and Granite 3.3 8B Instruct supports 128K 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 Granite 3.3 8B Instruct?

Key differences include LLM Stats Score (14.8 vs 3.0), input pricing ($0.10 vs $0.50/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Llama 70B and Granite 3.3 8B Instruct?

DeepSeek R1 Distill Llama 70B is developed by DeepSeek and Granite 3.3 8B Instruct is developed by IBM.

Related comparisons