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Model comparison

Claude 3 Haiku vs GPT-4.1 nano

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

20.67/100
Margin
20.4pts
winning →
41.1/100
0 category wins0 category wins

Public leaderboard positions: Claude 3 Haiku #204 (Supported); GPT-4.1 nano #170 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 3 Haiku and GPT-4.1 nano share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Claude 3 Haiku; 9 to GPT-4.1 nano.

Updated July 28, 2026
Shared results
12
Claude 3 Haiku only
0
GPT-4.1 nano only
9
Comparable categories
0 / 8

Benchmark data for Claude 3 Haiku and GPT-4.1 nano is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Claude 3 Haiku is priced at $0.25 input / $1.25 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano. GPT-4.1 nano has the larger context window at 1M, compared with 200K for Claude 3 Haiku.

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 Claude 3 Haiku and GPT-4.1 nano
CategoryClaude 3 HaikuΔGPT-4.1 nano
KnowledgeClaude 3 HaikuNot measuredMarginNo overlapGPT-4.1 nano50.3
MathClaude 3 HaikuNot measuredMarginNo overlapGPT-4.1 nano1.0
Inst. FollowingClaude 3 HaikuNot measuredMarginNo overlapGPT-4.1 nano83.2

Operational comparison

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

MetricClaude 3 HaikuGPT-4.1 nanoComparison
Input / output priceUSD per 1M tokensClaude 3 Haiku$0.25 input / $1.25 outputGPT-4.1 nano$0.1 input / $0.4 outputGPT-4.1 nano has the lower combined listed price.
Generation speedtokens per secondClaude 3 Haiku138 tok/sGPT-4.1 nano181 tok/sGPT-4.1 nano has the higher measured throughput.
First-answer latencyseconds to first tokenClaude 3 Haiku1.16 sGPT-4.1 nano0.63 sGPT-4.1 nano reaches the first token sooner.
Context windowmaximum listed tokensClaude 3 Haiku200KGPT-4.1 nano1MGPT-4.1 nano lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 3 HaikuGPT-4.1 nanoResult
τ²-bench resultsSource 21.1%17.3%Claude 3 Haiku leads
AA Agentic IndexSource 1.2%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 63Not comparable
Coding
BenchmarkClaude 3 HaikuGPT-4.1 nanoResult
AA-SciCodeSource 18.6%25.9%GPT-4.1 nano leads
AA Coding IndexSource 11.1%Not comparable
Reasoning
BenchmarkClaude 3 HaikuGPT-4.1 nanoResult
AA-LCRSource 21.0%17.0%Claude 3 Haiku leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkClaude 3 HaikuGPT-4.1 nanoResult
Artificial Analysis Intelligence IndexSource 3.9%9.6%GPT-4.1 nano leads
AA-GPQA DiamondSource 37.4%51.2%GPT-4.1 nano leads
AA-HLESource 3.9%3.9%Tie
AA-Omniscience IndexSource -47.6%-56.4%Claude 3 Haiku leads
AA-Omniscience AccuracySource 17.2%13.3%Claude 3 Haiku leads
AA-Omniscience Hallucination RateSource 78.2%80.4%Claude 3 Haiku leads
MMLUSource 80.1%Not comparable
GPQASource 50.3%Not comparable
Math
BenchmarkClaude 3 HaikuGPT-4.1 nanoResult
FrontierMath v2 (Tiers 1-3)Source 1.034%Not comparable
Multimodal
BenchmarkClaude 3 HaikuGPT-4.1 nanoResult
AA-MMMU-ProSource 30.8%40.1%GPT-4.1 nano leads
Design Arena WebsiteSource 998Not comparable
Inst. Following
BenchmarkClaude 3 HaikuGPT-4.1 nanoResult
AA-IFBenchSource 36.1%32.0%Claude 3 Haiku leads
IFEvalSource 83.2%Not comparable
Frequently Asked Questions (3)

Can I compare Claude 3 Haiku and GPT-4.1 nano 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 Claude 3 Haiku and GPT-4.1 nano today?

Claude 3 Haiku: $0.25 input / $1.25 output per 1M tokens GPT-4.1 nano: $0.10 input / $0.40 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 28, 2026

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