Grok Code Fast 1 vs o4 Mini

o4 Mini outperforms Grok Code Fast 1 on 8 of 12 benchmarks in our testing; the two tie on 2, and Grok Code Fast 1 wins 2.

Where o4 Mini leads:

• Tool calling: 5 vs 4 (o4 Mini tied for 1st among 54 models; Grok Code Fast 1 rank 18 of 54 with 28 others). For agentic workflows that depend on accurate function selection and argument construction, this is a real gap.
• Structured output: 5 vs 4 (o4 Mini tied for 1st among 54; Grok Code Fast 1 rank 26 of 54). Matters for any pipeline consuming JSON or schema-validated data.
• Strategic analysis: 5 vs 3 (o4 Mini tied for 1st among 54; Grok Code Fast 1 rank 36 of 54). A two-point gap is substantial — this covers nuanced tradeoff reasoning with real numbers, relevant for business analysis and architecture decisions.
• Long context: 5 vs 4 (o4 Mini tied for 1st among 55; Grok Code Fast 1 rank 38 of 55). o4 Mini also has a larger context window at 200K tokens — though Grok Code Fast 1's 256K window is larger, its retrieval accuracy at 30K+ tokens scores lower.
• Creative problem solving: 4 vs 3 (o4 Mini rank 9 of 54; Grok Code Fast 1 rank 30 of 54).
• Faithfulness: 5 vs 4 (o4 Mini tied for 1st among 55; Grok Code Fast 1 rank 34 of 55). Fewer hallucinations when summarizing or citing source material.
• Persona consistency: 5 vs 4 (o4 Mini tied for 1st among 53; Grok Code Fast 1 rank 38 of 53).
• Multilingual: 5 vs 4 (o4 Mini tied for 1st among 55; Grok Code Fast 1 rank 36 of 55).

Where Grok Code Fast 1 leads:

• Agentic planning: 5 vs 4 (Grok Code Fast 1 tied for 1st among 54 models; o4 Mini rank 16 of 54). This covers goal decomposition and failure recovery — exactly the skills needed for autonomous coding agents. This is Grok Code Fast 1's strongest differentiator.
• Safety calibration: 2 vs 1 (Grok Code Fast 1 rank 12 of 55; o4 Mini rank 32 of 55). Neither model scores well here in absolute terms — the median across all tested models is 2 — but Grok Code Fast 1 is meaningfully better at refusing harmful requests while permitting legitimate ones.

Ties: Constrained rewriting (3 each, rank 31 of 53) and classification (4 each, tied for 1st among 53).

External benchmarks (Epoch AI): o4 Mini scores 97.8% on MATH Level 5 (rank 2 of 14 models with this data) and 81.7% on AIME 2025 (rank 13 of 23). These place it among the strongest math reasoning models by third-party measure. Grok Code Fast 1 has no external benchmark data in this payload. The median MATH Level 5 score across models with data is 94.15%; o4 Mini exceeds it. The median AIME 2025 score is 83.9%; o4 Mini's 81.7% sits just below the median.

Grok Code Fast 1 costs $0.20/MTok input and $1.50/MTok output. o4 Mini costs $1.10/MTok input and $4.40/MTok output — 5.5x more expensive on input and 2.9x more on output. At 1M output tokens/month, that gap is $1.50 vs $4.40 — a $2.90 difference that's easy to absorb. At 10M output tokens, it's $15,000 vs $44,000 — a $29,000 annual swing that starts to matter. At 100M output tokens (a serious production workload), the difference reaches $290,000/year. For individual developers or low-traffic apps, the price gap is irrelevant — go with whichever model fits the task. For teams running automated coding agents, RAG pipelines, or any high-throughput workflow, Grok Code Fast 1's cost profile is a meaningful operational advantage. Note that o4 Mini also accepts image and file inputs (text+image+file->text), while Grok Code Fast 1 is text-only — if multimodal input is required, o4 Mini has no competitor here regardless of cost.

Choose Grok Code Fast 1 if: You're running high-volume agentic coding workflows where cost is a constraint — it scores 5/5 on agentic planning (tied for 1st among 54 models) and costs $1.50/MTok output vs $4.40 for o4 Mini. At 100M tokens/month, that's $290,000/year in savings. It also carries visible reasoning traces via include_reasoning, useful for debugging agent behavior. Its 256K context window is larger than o4 Mini's 200K, though its long-context retrieval accuracy is lower. Text-only input pipelines where multimodal is not needed are a natural fit.

Choose o4 Mini if: You need a reliable general-purpose reasoning model that excels across breadth — tool calling (5/5, tied for 1st), structured output (5/5, tied for 1st), strategic analysis (5/5, tied for 1st), long context (5/5), and strong math reasoning (97.8% on MATH Level 5, Epoch AI). It also accepts image and file inputs, making it the only option here for multimodal tasks. Teams building document analysis tools, multi-language products, or RAG pipelines that require high faithfulness (5/5) will find o4 Mini consistently reliable across more task types than Grok Code Fast 1.