Model comparison
Grok Code Fast 1 vs o1-pro
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Grok Code Fast 1 #189 (Supported); o1-pro #148 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Grok Code Fast 1 and o1-pro share 1 comparable benchmark result. 0 of 8 categories are comparable. 11 results are unique to Grok Code Fast 1; 1 to o1-pro.
Updated July 24, 2026- Shared results
- 1
- Grok Code Fast 1 only
- 11
- o1-pro only
- 1
- Comparable categories
- 0 / 8
Benchmark data for Grok Code Fast 1 and o1-pro is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
o1-pro is priced at $150.00 input / $600.00 output per 1M tokens, versus $0.20 input / $1.50 output per 1M tokens for Grok Code Fast 1. Grok Code Fast 1 has the larger context window at 256K, compared with 200K for o1-pro.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Grok Code Fast 1 | Δ | o1-pro |
|---|---|---|---|
| Coding | Grok Code Fast 170.8 | MarginNo overlap | o1-proNot measured |
| Knowledge | Grok Code Fast 1Not measured | MarginNo overlap | o1-pro79.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Grok Code Fast 1 | o1-pro | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Grok Code Fast 1$0.2 input / $1.5 output | o1-pro$150 input / $600 output | Grok Code Fast 1 has the lower combined listed price. |
| Generation speedtokens per second | Grok Code Fast 1172 tok/s | o1-proNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Grok Code Fast 12.81 s | o1-proNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Grok Code Fast 1256K | o1-pro200K | Grok Code Fast 1 lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Grok Code Fast 1 | o1-pro | Result |
|---|---|---|---|
| τ²-bench resultsSource | 75.7% | — | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Grok Code Fast 1 | o1-pro | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 21.6% | 18.9% | Grok Code Fast 1 leads |
| AA-GPQA DiamondSource | 72.7% | — | Not comparable |
| AA-HLESource | 7.5% | — | Not comparable |
| AA-Omniscience IndexSource | -36.0% | — | Not comparable |
| AA-Omniscience AccuracySource | 23.8% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 78.5% | — | Not comparable |
| GPQASource | — | 79% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Grok Code Fast 1 | o1-pro | Result |
|---|---|---|---|
| AA-IFBenchSource | 41.4% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Grok Code Fast 1 and o1-pro on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Grok Code Fast 1 and o1-pro today?
Grok Code Fast 1: $0.20 input / $1.50 output per 1M tokens o1-pro: $150.00 input / $600.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.