GPT-5.1 Codex High vs Grok-3 Mini: Specs & Benchmark Comparison
GPT-5.1 Codex High is developed by OpenAI, while Grok-3 Mini comes from xAI. Grok-3 Mini was released in February 2025, and GPT-5.1 Codex High followed 9 months later in November 2025.
We have 1 benchmark result for GPT-5.1 Codex High and 4 benchmark results for Grok-3 Mini, but they overlap on a single test: AIME 2025, where GPT-5.1 Codex High scores 97.0% against 91.0%.
Grok-3 Mini is the cheaper API at $0.30 per million input tokens and $0.50 per million output tokens, roughly 4 times cheaper than GPT-5.1 Codex High at $1.25 and $10. GPT-5.1 Codex High takes the larger context window at 400K tokens, compared with 128K for Grok-3 Mini. Both accept text and images as input.
| Characteristic | GPT-5.1 Codex High | Grok-3 Mini |
|---|---|---|
| Company | OpenAI | xAI |
| Release Date | November 11, 2025 | February 16, 2025 |
| Parameters | — | — |
| Multimodal | Yes | Yes |
| Context (input) | 400K | 128K |
| Context (output) | 128K | 8K |
| Input Price / 1M | $1.25 | $0.30 |
| Output Price / 1M | $10.00 | $0.50 |
| Average Score | 97.0% | 87.8% |
| Benchmarks | ||
| AIME 2025 | 97.0% | 91.0% |
Visual Benchmark Comparison
Verdict
GPT-5.1 Codex High leads in 2 out of 4 comparison categories.
Both models show comparable average scores: GPT-5.1 Codex High — 1.0, Grok-3 Mini — 0.9.
Grok-3 Mini is 14.1x cheaper: input $0.30/1M vs $1.25/1M tokens.
GPT-5.1 Codex High supports a larger context: 400K vs 128K tokens.
GPT-5.1 Codex High is newer: released 11/11/2025 vs 2/16/2025.
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Frequently Asked Questions
Which is better for coding — GPT-5.1 Codex High or Grok-3 Mini?
Which model is cheaper — GPT-5.1 Codex High or Grok-3 Mini?
Which has a larger context window — GPT-5.1 Codex High or Grok-3 Mini?
The GPT-5.1 Codex High and Grok-3 Mini comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.1 Codex High or Grok-3 Mini page. See also the complete list of AI model comparisons.