Grok-3 vs o1
Grok-3 leads the LLM Stats Score 29.6 to 20.3. Grok-3 is 4.4x cheaper per token.
xAI · OpenAI · Updated for 2026
Which is better?
Grok-3 leads the overall LLM Stats Score 29.6 to 20.3, ranking #156 overall.
In the 3 individual benchmarks reported for both models, Grok-3 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Grok-3 is roughly 4.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Grok-3
- overall performance matters — it scores 29.6 and ranks #156 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 4.4x cheaper per token
- you want the most recent training data — it shipped Feb 2025
Choose o1
- you process long inputs — it offers a 200,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for Grok-3 · 19 for o1
Grok-3 outperforms in 3 benchmarks (AIME 2024, GPQA, MMMU), while o1 is better at 0 benchmarks.
Grok-3 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, Grok-3 ($3.00/1M tokens) is 5.0x cheaper than o1 ($15.00/1M tokens).
For output processing, Grok-3 ($15.00/1M tokens) is 4.0x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than Grok-3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
o1 accepts 200,000 input tokens compared to Grok-3's 128,000 tokens. o1 can generate longer responses up to 100,000 tokens, while Grok-3 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Grok-3 supports multimodal inputs, whereas o1 does not.
Grok-3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-3
o1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Grok-3 was released on 2025-02-17, while o1 was released on 2024-12-17.
Grok-3 is 2 months newer than o1.
Feb 17, 2025
1.7 years ago
2mo newerDec 17, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Grok-3 has a documented knowledge cutoff of 2024-11-17, while o1's cutoff date is not specified.
We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without o1's cutoff date.
Nov 2024
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Provider Availability
Grok-3 is available from xAI. o1 is available from Azure, OpenAI.
Grok-3
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-3 and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-3 vs o1.