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Model comparison

GPT-4.1 vs Ministral 3 8B

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.
OpenAI
50.39/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-4.1 #111 (Supported); Ministral 3 8B #205 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 and Ministral 3 8B share 0 comparable benchmark results. 0 of 8 categories are comparable. 20 results are unique to GPT-4.1; 0 to Ministral 3 8B.

Updated July 28, 2026
Shared results
0
GPT-4.1 only
20
Ministral 3 8B only
0
Comparable categories
0 / 8

Benchmark data for GPT-4.1 and Ministral 3 8B 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 Ministral 3 8B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-4.1 is priced at $2.00 input / $8.00 output per 1M tokens, versus $0.15 input / $0.15 output per 1M tokens for Ministral 3 8B. GPT-4.1 has the larger context window at 1M, compared with 128K for Ministral 3 8B.

Operational comparison

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

MetricGPT-4.1Ministral 3 8BComparison
Input / output priceUSD per 1M tokensGPT-4.1$2 input / $8 outputMinistral 3 8B$0.15 input / $0.15 outputMinistral 3 8B has the lower combined listed price.
Generation speedtokens per secondGPT-4.1108 tok/sMinistral 3 8B182 tok/sMinistral 3 8B has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-4.11.02 sMinistral 3 8B0.52 sMinistral 3 8B reaches the first token sooner.
Context windowmaximum listed tokensGPT-4.11MMinistral 3 8B128KGPT-4.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1Ministral 3 8BResult
τ²-bench resultsSource 47.1%Not comparable
Gert LabsSource 25.65%Not comparable
Coding
BenchmarkGPT-4.1Ministral 3 8BResult
SWE-bench VerifiedSource 54.6%Not comparable
AA-SciCodeSource 38.1%Not comparable
Reasoning
BenchmarkGPT-4.1Ministral 3 8BResult
AA-LCRSource 61.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-4.1Ministral 3 8BResult
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
Math
BenchmarkGPT-4.1Ministral 3 8BResult
FrontierMath v2 (Tiers 1-3)Source 5.517%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkGPT-4.1Ministral 3 8BResult
AA-MMMU-ProSource 61.2%Not comparable
Design Arena WebsiteSource 1063Not comparable
Inst. Following
BenchmarkGPT-4.1Ministral 3 8BResult
IFEvalSource 87.4%Not comparable
AA-IFBenchSource 43.0%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-4.1 and Ministral 3 8B 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-4.1 and Ministral 3 8B today?

GPT-4.1: $2.00 input / $8.00 output per 1M tokens Ministral 3 8B: $0.15 input / $0.15 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 28, 2026

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