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DeepSeek R1 Distill Qwen 32B vs Granite 3.3 8B Instruct

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.2 to 2.6. DeepSeek R1 Distill Qwen 32B is 3.7x cheaper per token.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 32B leads the overall LLM Stats Score 13.2 to 2.6, ranking #236 overall.

In the 2 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek R1 Distill Qwen 32B is roughly 3.7x 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 Qwen 32B

  • overall performance matters — it scores 13.2 and ranks #236 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 3.7x 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 Qwen 32B
DeepSeek
Granite 3.3 8B Instruct
IBM
Core performance indexes
LLM Stats Score
13.2
#236
2.6
#302
Reasoning
13.4
#227
3.0
#291
Coding
8.3
#175
11.3
#151
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$0.12 / M
$0.50 / M
Output price
$0.18 / 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 Qwen 32B
Granite 3.3 8B Instruct
Math
15.2#209
3.0#280
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 32B · 14 for Granite 3.3 8B Instruct

2 shared

DeepSeek R1 Distill Qwen 32B outperforms in 2 benchmarks (AIME 2024, MATH-500), while Granite 3.3 8B Instruct is better at 0 benchmarks.

DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.

Mon Sep 07 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 Qwen 32B costs less

For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 4.2x cheaper than Granite 3.3 8B Instruct ($0.50/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.8x 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 Qwen 32B.*

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

Lowest available price from all providers
Mon Sep 07 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
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

24.8B diff

DeepSeek R1 Distill Qwen 32B has 24.8B more parameters than Granite 3.3 8B Instruct, making it 310.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 32B
32.8Bparameters
IBM
Granite 3.3 8B Instruct
8.0Bparameters
32.8B
DeepSeek R1 Distill Qwen 32B
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 Qwen 32B 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 Qwen 32B
Input128,000 tokens
Output128,000 tokens
IBM
Granite 3.3 8B Instruct
Input128,000 tokens
Output8,192 tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Granite 3.3 8B Instruct supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 32B 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 Qwen 32B

Text
Images
Audio
Video

Granite 3.3 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 32B 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 Qwen 32B

MIT

Open weights

Granite 3.3 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 32B 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 Qwen 32B.

DeepSeek R1 Distill Qwen 32B

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 Qwen 32B'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 Qwen 32B's cutoff date.

DeepSeek R1 Distill Qwen 32B

—

Granite 3.3 8B Instruct

Apr 2024

Provider Availability

DeepSeek R1 Distill Qwen 32B is available from DeepInfra. Granite 3.3 8B Instruct is available from Replicate.

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

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 Qwen 32B and Granite 3.3 8B Instruct side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 32B
✓ Preferred
Granite 3.3 8B Instruct
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 32B vs Granite 3.3 8B Instruct.

Which is better, DeepSeek R1 Distill Qwen 32B or Granite 3.3 8B Instruct?

DeepSeek R1 Distill Qwen 32B leads the LLM Stats Score 13.2 to 2.6. DeepSeek R1 Distill Qwen 32B 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 Qwen 32B compare to Granite 3.3 8B Instruct in benchmarks?

DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%. 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 Qwen 32B cheaper than Granite 3.3 8B Instruct?

DeepSeek R1 Distill Qwen 32B is 4.2x cheaper for input tokens. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/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 Qwen 32B and Granite 3.3 8B Instruct?

DeepSeek R1 Distill Qwen 32B 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 Qwen 32B and Granite 3.3 8B Instruct?

Key differences include LLM Stats Score (13.2 vs 2.6), input pricing ($0.12 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 Qwen 32B and Granite 3.3 8B Instruct?

DeepSeek R1 Distill Qwen 32B is developed by DeepSeek and Granite 3.3 8B Instruct is developed by IBM.

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