Granite 3.3 8B Instruct vs o1-mini
o1-mini leads the LLM Stats Score 10.0 to 2.4. Granite 3.3 8B Instruct is 10.5x cheaper per token.
IBM · OpenAI · Updated for 2026
Which is better?
o1-mini leads the overall LLM Stats Score 10.0 to 2.4, ranking #272 overall.
In the 3 individual benchmarks reported for both models, o1-mini wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Granite 3.3 8B Instruct is roughly 10.5x 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 Granite 3.3 8B Instruct
- cost matters — it's about 10.5x cheaper per token
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
Choose o1-mini
- overall performance matters — it scores 10.0 and ranks #272 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
14 reported for Granite 3.3 8B Instruct · 6 for o1-mini
Granite 3.3 8B Instruct outperforms in 0 benchmarks, while o1-mini is better at 3 benchmarks (HumanEval, MATH-500, MMLU).
o1-mini significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 6.0x cheaper than o1-mini ($3.00/1M tokens).
For output processing, Granite 3.3 8B Instruct ($0.50/1M tokens) is 24.0x cheaper than o1-mini ($12.00/1M tokens).
In conclusion, o1-mini is more expensive than Granite 3.3 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. o1-mini can generate longer responses up to 65,536 tokens, while Granite 3.3 8B Instruct is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Granite 3.3 8B Instruct supports multimodal inputs, whereas o1-mini does not.
Granite 3.3 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Granite 3.3 8B Instruct
o1-mini
License
Usage and distribution terms
Granite 3.3 8B Instruct is licensed under Apache 2.0, while o1-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Granite 3.3 8B Instruct was released on 2025-04-16, while o1-mini was released on 2024-09-12.
Granite 3.3 8B Instruct is 7 months newer than o1-mini.
Apr 16, 2025
1.4 years ago
7mo newerSep 12, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Granite 3.3 8B Instruct has a documented knowledge cutoff of 2024-04-01, while o1-mini'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 o1-mini's cutoff date.
Apr 2024
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Provider Availability
Granite 3.3 8B Instruct is available from Replicate. o1-mini is available from OpenAI, Azure.
Granite 3.3 8B Instruct
o1-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Granite 3.3 8B Instruct and o1-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Granite 3.3 8B Instruct vs o1-mini.