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Model comparison

GPT-5 nano vs Grok 4.1 Fast

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
50.47/100
0 category wins0 category wins

Public leaderboard positions: GPT-5 nano #146 (Estimated); Grok 4.1 Fast #110 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5 nano and Grok 4.1 Fast share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-5 nano; 13 to Grok 4.1 Fast.

Updated July 24, 2026
Shared results
0
GPT-5 nano only
0
Grok 4.1 Fast only
13
Comparable categories
0 / 8

Benchmark data for GPT-5 nano and Grok 4.1 Fast 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 4.1 Fast is priced at $0.20 input / $0.50 output per 1M tokens, versus $0.05 input / $0.40 output per 1M tokens for GPT-5 nano. Grok 4.1 Fast has the larger context window at 1M, compared with 400K for GPT-5 nano.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5 nanoGrok 4.1 FastComparison
Input / output priceUSD per 1M tokensGPT-5 nano$0.05 input / $0.4 outputGrok 4.1 Fast$0.2 input / $0.5 outputGPT-5 nano has the lower combined listed price.
Generation speedtokens per secondGPT-5 nano137 tok/sGrok 4.1 Fast138 tok/sGrok 4.1 Fast has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5 nano83.30 sGrok 4.1 Fast0.54 sGrok 4.1 Fast reaches the first token sooner.
Context windowmaximum listed tokensGPT-5 nano400KGrok 4.1 Fast1MGrok 4.1 Fast lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5 nanoGrok 4.1 FastResult
τ²-bench resultsSource 63.7%Not comparable
Gert LabsSource 47.32%Not comparable
Coding
BenchmarkGPT-5 nanoGrok 4.1 FastResult
AA-SciCodeSource 29.6%Not comparable
Reasoning
BenchmarkGPT-5 nanoGrok 4.1 FastResult
AA-LCRSource 22.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-5 nanoGrok 4.1 FastResult
Artificial Analysis Intelligence IndexSource 16.9%Not comparable
AA-GPQA DiamondSource 63.7%Not comparable
AA-HLESource 5.0%Not comparable
AA-Omniscience IndexSource -50.9%Not comparable
AA-Omniscience AccuracySource 17.0%Not comparable
AA-Omniscience Hallucination RateSource 81.8%Not comparable
Multimodal
BenchmarkGPT-5 nanoGrok 4.1 FastResult
AA-MMMU-ProSource 48.4%Not comparable
Inst. Following
BenchmarkGPT-5 nanoGrok 4.1 FastResult
AA-IFBenchSource 36.5%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5 nano and Grok 4.1 Fast 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 4.1 Fast today?

GPT-5 nano: $0.05 input / $0.40 output per 1M tokens Grok 4.1 Fast: $0.20 input / $0.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 24, 2026