Model comparison
GPT-5 nano vs Grok Code Fast 1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5 nano #146 (Estimated); Grok Code Fast 1 #189 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5 nano and Grok Code Fast 1 share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5 nano; 12 to Grok Code Fast 1.
Updated July 24, 2026- Shared results
- 0
- GPT-5 nano only
- 0
- Grok Code Fast 1 only
- 12
- Comparable categories
- 0 / 8
Benchmark data for GPT-5 nano and Grok Code Fast 1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 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 does not have sourced benchmark coverage for GPT-5 nano yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
Grok Code Fast 1 is priced at $0.20 input / $1.50 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. GPT-5 nano has the larger context window at 400K, compared with 256K for Grok Code Fast 1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5 nano | Grok Code Fast 1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5 nano$0.05 input / $0.4 output | Grok Code Fast 1$0.2 input / $1.5 output | GPT-5 nano has the lower combined listed price. |
| Generation speedtokens per second | GPT-5 nano137 tok/s | Grok Code Fast 1172 tok/s | Grok Code Fast 1 has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-5 nano83.30 s | Grok Code Fast 12.81 s | Grok Code Fast 1 reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-5 nano400K | Grok Code Fast 1256K | GPT-5 nano lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | GPT-5 nano | Grok Code Fast 1 | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 75.7% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-5 nano | Grok Code Fast 1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | — | 21.6% | Not comparable |
| 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 |
Inst. Following1 benchmarks
| Benchmark | GPT-5 nano | Grok Code Fast 1 | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 41.4% | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5 nano and Grok Code Fast 1 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 GPT-5 nano and Grok Code Fast 1 today?
GPT-5 nano: $0.05 input / $0.40 output per 1M tokens Grok Code Fast 1: $0.20 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.