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Model comparison

GPT-5.2 vs Grok Code Fast 1

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
58.43/100
Margin
19.8pts
← winning
38.64/100
0 category wins1 category wins

Public leaderboard positions: GPT-5.2 #64 (Estimated); Grok Code Fast 1 #180 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.2 and Grok Code Fast 1 share 12 comparable benchmark results. 1 of 8 categories are comparable. 16 results are unique to GPT-5.2; 0 to Grok Code Fast 1.

Updated July 20, 2026
Shared results
12
GPT-5.2 only
16
Grok Code Fast 1 only
0
Comparable categories
1 / 8

Pick GPT-5.2 if you want the stronger benchmark profile. Grok Code Fast 1 only becomes the better choice if coding is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.2 is clearly ahead on the BenchAlign aggregate, 58.43 to 38.64. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.2 is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.20 input / $1.50 output per 1M tokens for Grok Code Fast 1. That is roughly 9.3x on output cost alone. GPT-5.2 is the reasoning model in the pair, while Grok Code Fast 1 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. GPT-5.2 gives you the larger context window at 400K, compared with 256K for Grok Code Fast 1.

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 scores and score margins for GPT-5.2 and Grok Code Fast 1
CategoryGPT-5.2ΔGrok Code Fast 1
CodingGPT-5.270.6Margin 0.2Grok Code Fast 170.8
AgenticGPT-5.255.7MarginNo overlapGrok Code Fast 1Not measured
ReasoningGPT-5.252.9MarginNo overlapGrok Code Fast 1Not measured
KnowledgeGPT-5.292.4MarginNo overlapGrok Code Fast 1Not measured
MathGPT-5.235.2MarginNo overlapGrok Code Fast 1Not measured
MultimodalGPT-5.280.4MarginNo overlapGrok Code Fast 1Not measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GPT-5.2B · Grok Code Fast 1
  1. SWE-bench Verified

    Coding
    Source ↗
    A 80%B 70.8%
    Winner: GPT-5.2Δ 9.2
    SWE-bench Verified: GPT-5.2 scored 80%; Grok Code Fast 1 scored 70.8%. GPT-5.2 wins this benchmark.

Operational comparison

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

MetricGPT-5.2Grok Code Fast 1Comparison
Input / output priceUSD per 1M tokensGPT-5.2$1.75 input / $14 outputGrok Code Fast 1$0.2 input / $1.5 outputGrok Code Fast 1 has the lower combined listed price.
Generation speedtokens per secondGPT-5.273 tok/sGrok Code Fast 1172 tok/sGrok Code Fast 1 has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.2130.34 sGrok Code Fast 12.81 sGrok Code Fast 1 reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.2400KGrok Code Fast 1256KGPT-5.2 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.2Grok Code Fast 1Result
BrowseCompSource 65.8%Not comparable
OSWorld-VerifiedSource 47.3%Not comparable
τ²-bench resultsSource 84.8%75.7%GPT-5.2 leads
Gert LabsSource 46.54%Not comparable
JobBenchSource 34.3%Not comparable
CodingGrok Code Fast 1 wins
BenchmarkGPT-5.2Grok Code Fast 1Result
SWE-bench VerifiedSource 80%70.8%GPT-5.2 leads
SWE-bench ProSource 55.6%Not comparable
Vibe Code BenchSource 53.50%Not comparable
AA-SciCodeSource 52.1%36.2%GPT-5.2 leads
Reasoning
BenchmarkGPT-5.2Grok Code Fast 1Result
ARC-AGI-2Source 52.9%Not comparable
AA-LCRSource 72.7%48.3%GPT-5.2 leads
CritPtSource 11.6%0.0%GPT-5.2 leads
Knowledge
BenchmarkGPT-5.2Grok Code Fast 1Result
GPQASource 92.4%Not comparable
Artificial Analysis Intelligence IndexSource 42.2%21.6%GPT-5.2 leads
AA-GPQA DiamondSource 90.3%72.7%GPT-5.2 leads
AA-HLESource 35.4%7.5%GPT-5.2 leads
AA-Omniscience IndexSource -1.0%-36.0%GPT-5.2 leads
AA-Omniscience AccuracySource 43.8%23.8%GPT-5.2 leads
AA-Omniscience Hallucination RateSource 79.7%78.5%Grok Code Fast 1 leads
Math
BenchmarkGPT-5.2Grok Code Fast 1Result
AA AIME 2025Source 99.0%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 18.800%Not comparable
Multimodal
BenchmarkGPT-5.2Grok Code Fast 1Result
MMMU-ProSource 79.5%Not comparable
MathVisionSource 83.0%Not comparable
CharXivSource 82.1%Not comparable
V*Source 75.9%Not comparable
Design Arena WebsiteSource 1227Not comparable
Inst. Following
BenchmarkGPT-5.2Grok Code Fast 1Result
AA-IFBenchSource 75.4%41.4%GPT-5.2 leads
Frequently Asked Questions (2)

Which is better, GPT-5.2 or Grok Code Fast 1?

GPT-5.2 is ahead on BenchLM's BenchAlign leaderboard, 58.43 to 38.64. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80% and 70.8%.

Which is better for coding, GPT-5.2 or Grok Code Fast 1?

Grok Code Fast 1 has the edge for coding in this comparison, averaging 70.8 versus 70.6. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.

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Last updated: July 20, 2026

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