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Model comparison

LFM2.5-8B-A1B vs Mistral Large 3

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.

41.25/100
Margin
9.0pts
winning →
50.26/100
0 category wins0 category wins

BenchAlign evidence: LFM2.5-8B-A1B estimated; Mistral Large 3 supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-8B-A1B and Mistral Large 3 share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-8B-A1B; 5 to Mistral Large 3.

Updated July 16, 2026
Shared results
12
LFM2.5-8B-A1B only
6
Mistral Large 3 only
5
Comparable categories
0 / 8

Benchmark data for LFM2.5-8B-A1B and Mistral Large 3 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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.

Mistral Large 3 is priced at $0.50 input / $1.50 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B.

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 LFM2.5-8B-A1B and Mistral Large 3
CategoryLFM2.5-8B-A1BΔMistral Large 3
MathLFM2.5-8B-A1B50.0MarginNo overlapMistral Large 3Not measured
Inst. FollowingLFM2.5-8B-A1B68.8MarginNo overlapMistral Large 3Not measured

Operational comparison

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

MetricLFM2.5-8B-A1BMistral Large 3Comparison
Input / output priceUSD per 1M tokensLFM2.5-8B-A1B$0 input / $0 outputMistral Large 3$0.5 input / $1.5 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondLFM2.5-8B-A1BNot availableMistral Large 348 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-8B-A1BNot availableMistral Large 31.04 sA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-8B-A1B128KMistral Large 3128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-8B-A1BMistral Large 3Result
BFCL v4Source 49.7%Not comparable
τ²-bench resultsSource 16.1%24.6%Mistral Large 3 leads
AA Agentic IndexSource 5.5%Not comparable
GDPval-AASource 6.6%Not comparable
GDPval-AASource 633Not comparable
Coding
BenchmarkLFM2.5-8B-A1BMistral Large 3Result
Terminal-Bench HardSource 4.5%15.9%Mistral Large 3 leads
AA-SciCodeSource 7.8%36.2%Mistral Large 3 leads
AA Coding IndexSource 20.1%Not comparable
Reasoning
BenchmarkLFM2.5-8B-A1BMistral Large 3Result
AA-LCRSource 0.0%34.7%Mistral Large 3 leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkLFM2.5-8B-A1BMistral Large 3Result
AA-GPQA DiamondSource 51.3%68.0%Mistral Large 3 leads
AA-HLESource 6.9%4.1%LFM2.5-8B-A1B leads
AA-Omniscience IndexSource -33.3%-39.4%LFM2.5-8B-A1B leads
AA-Omniscience AccuracySource 9.4%24.1%Mistral Large 3 leads
AA-Omniscience Hallucination RateSource 47.0%83.7%LFM2.5-8B-A1B leads
Artificial Analysis Intelligence IndexSource 8.3%15.9%Mistral Large 3 leads
Math
BenchmarkLFM2.5-8B-A1BMistral Large 3Result
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkLFM2.5-8B-A1BMistral Large 3Result
AA-MMMU-ProSource 55.7%Not comparable
Inst. Following
BenchmarkLFM2.5-8B-A1BMistral Large 3Result
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
AA-IFBenchSource 55.6%36.2%LFM2.5-8B-A1B leads
Frequently Asked Questions (3)

Can I compare LFM2.5-8B-A1B and Mistral Large 3 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 LFM2.5-8B-A1B and Mistral Large 3 today?

LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Mistral Large 3: $0.50 input / $1.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

LFM2.5-8B-A1B
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Mistral Large 3
API / mo$1,500
Self-host / mo$9,110
Break-even380M/day
Model the full break-even

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Last updated: July 16, 2026

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