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Model comparison

GPT-4.1 vs Grok 4.20

Data verified

Head-to-head evidence from 3 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

OpenAI
50.39/100
Margin
3.5pts
winning →
53.88/100
0 category wins1 category wins

Public leaderboard positions: GPT-4.1 #111 (Supported); Grok 4.20 #93 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 and Grok 4.20 share 3 comparable benchmark results. 1 of 8 categories are comparable. 17 results are unique to GPT-4.1; 16 to Grok 4.20.

Updated July 28, 2026
Shared results
3
GPT-4.1 only
17
Grok 4.20 only
16
Comparable categories
1 / 8

Pick Grok 4.20 if you want the stronger benchmark profile. GPT-4.1 only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 3 shared benchmark results across 3 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

Grok 4.20 is clearly ahead on the BenchAlign aggregate, 53.88 to 50.39. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Grok 4.20's sharpest advantage is in coding, where it averages 67.1 against 54.6. The single biggest benchmark swing on the page is SWE-bench Verified, 54.6% to 76.7%.

GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $2.00 input / $6.00 output per 1M tokens for Grok 4.20. Grok 4.20 is the reasoning model in the pair, while GPT-4.1 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. Grok 4.20 gives you the larger context window at 2M, compared with 1M for GPT-4.1.

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-4.1 and Grok 4.20
CategoryGPT-4.1ΔGrok 4.20
CodingGPT-4.154.6Margin 12.5Grok 4.2067.1
AgenticGPT-4.1Not measuredMarginNo overlapGrok 4.2047.1
ReasoningGPT-4.1Not measuredMarginNo overlapGrok 4.2053.3
KnowledgeGPT-4.166.3MarginNo overlapGrok 4.20Not measured
MathGPT-4.14.1MarginNo overlapGrok 4.20Not measured
MultimodalGPT-4.1Not measuredMarginNo overlapGrok 4.2070.1
Inst. FollowingGPT-4.187.4MarginNo overlapGrok 4.20Not measured

Decisive benchmark drivers

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

More
A · GPT-4.1B · Grok 4.20
  1. SWE-bench Verified

    Coding
    Source ↗
    A 54.6%B 76.7%
    Winner: Grok 4.20Δ 22.1
    SWE-bench Verified: GPT-4.1 scored 54.6%; Grok 4.20 scored 76.7%. Grok 4.20 wins this benchmark.

Operational comparison

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

MetricGPT-4.1Grok 4.20Comparison
Input / output priceUSD per 1M tokensGPT-4.1$2 input / $8 outputGrok 4.20$2 input / $6 outputGrok 4.20 has the lower combined listed price.
Generation speedtokens per secondGPT-4.1108 tok/sGrok 4.20233 tok/sGrok 4.20 has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-4.11.02 sGrok 4.2010.33 sGPT-4.1 reaches the first token sooner.
Context windowmaximum listed tokensGPT-4.11MGrok 4.202MGrok 4.20 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1Grok 4.20Result
τ²-bench resultsSource 47.1%Not comparable
Gert LabsSource 25.65%38.36%Grok 4.20 leads
Terminal-Bench 2.0Source 47.1%Not comparable
DeepSearchQASource 62.8%Not comparable
CodingGrok 4.20 wins
BenchmarkGPT-4.1Grok 4.20Result
SWE-bench VerifiedSource 54.6%76.7%Grok 4.20 leads
AA-SciCodeSource 38.1%Not comparable
LiveCodeBench ProSource 74.2%Not comparable
SWE-bench ProSource 51.8%Not comparable
Vibe Code BenchSource 4.06%Not comparable
Reasoning
BenchmarkGPT-4.1Grok 4.20Result
AA-LCRSource 61.0%Not comparable
CritPtSource 0.0%Not comparable
ARC-AGI-2Source 53.3%Not comparable
ARC-AGI-3Source 0.1%Not comparable
Knowledge
BenchmarkGPT-4.1Grok 4.20Result
MMLUSource 90.2%Not comparable
GPQASource 66.3%Not comparable
Artificial Analysis Intelligence IndexSource 19.4%Not comparable
AA-GPQA DiamondSource 66.6%Not comparable
AA-HLESource 4.6%Not comparable
AA-Omniscience IndexSource -36.2%Not comparable
AA-Omniscience AccuracySource 24.2%Not comparable
AA-Omniscience Hallucination RateSource 79.6%Not comparable
GPQA-DSource 88.5%Not comparable
HLE w/o toolsSource 31.6%Not comparable
HealthBench HardSource 20.3%Not comparable
MedXpertQA (Text)Source 50.2%Not comparable
Math
BenchmarkGPT-4.1Grok 4.20Result
FrontierMath v2 (Tiers 1-3)Source 5.517%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkGPT-4.1Grok 4.20Result
AA-MMMU-ProSource 61.2%Not comparable
Design Arena WebsiteSource 10631252Grok 4.20 leads
MMMU-ProSource 75.2%Not comparable
CharXivSource 60.9%Not comparable
ERQASource 54.1%Not comparable
SimpleVQASource 57.4%Not comparable
MedXpertQA (MM)Source 65.8%Not comparable
Inst. Following
BenchmarkGPT-4.1Grok 4.20Result
IFEvalSource 87.4%Not comparable
AA-IFBenchSource 43.0%Not comparable
Frequently Asked Questions (2)

Which is better, GPT-4.1 or Grok 4.20?

Grok 4.20 is ahead on BenchLM's BenchAlign leaderboard, 53.88 to 50.39. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 54.6% and 76.7%.

Which is better for coding, GPT-4.1 or Grok 4.20?

Grok 4.20 has the edge for coding in this comparison, averaging 67.1 versus 54.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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Last updated: July 28, 2026

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