Model comparison

LFM2.5-VL-1.6B-Extract vs Mistral 8x7B

Data verified July 23, 2026

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.

LFM2.5-VL-1.6B-Extract

LiquidAI

N/A

No comparison

Mistral 8x7B

Mistral

N/A

0 category wins0 category wins

Public leaderboard positions: LFM2.5-VL-1.6B-Extract unranked (Not scored); Mistral 8x7B #146 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-VL-1.6B-Extract and Mistral 8x7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 15 results are unique to LFM2.5-VL-1.6B-Extract; 0 to Mistral 8x7B.

Updated July 23, 2026

Shared results: 0
LFM2.5-VL-1.6B-Extract only: 15
Mistral 8x7B only: 0
Comparable categories: 0 / 8

Benchmark data for LFM2.5-VL-1.6B-Extract and Mistral 8x7B 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 Mistral 8x7B yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

LFM2.5-VL-1.6B-Extract has the larger context window at 128K, compared with 32K for Mistral 8x7B.

Operational comparison

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

Metric	LFM2.5-VL-1.6B-Extract	Mistral 8x7B	Comparison
Input / output priceUSD per 1M tokens	LFM2.5-VL-1.6B-ExtractNot available	Mistral 8x7B$0 input / $0 output	A complete price comparison is not available.
Generation speedtokens per second	LFM2.5-VL-1.6B-ExtractNot available	Mistral 8x7BNot available	A complete speed comparison is not available.
First-answer latencyseconds to first token	LFM2.5-VL-1.6B-ExtractNot available	Mistral 8x7BNot available	A complete latency comparison is not available.
Context windowmaximum listed tokens	LFM2.5-VL-1.6B-Extract128K	Mistral 8x7B32K	LFM2.5-VL-1.6B-Extract lists the larger context window.

Benchmark Deep Dive

Agentic

1 benchmarks

Benchmark	LFM2.5-VL-1.6B-Extract	Mistral 8x7B	Result
τ²-bench resultsSource	8.5%	—	Not comparable

Coding

1 benchmarks

Benchmark	LFM2.5-VL-1.6B-Extract	Mistral 8x7B	Result
AA-SciCodeSource	3.0%	—	Not comparable

Reasoning

2 benchmarks

Benchmark	LFM2.5-VL-1.6B-Extract	Mistral 8x7B	Result
AA-LCRSource	0.0%	—	Not comparable
CritPtSource	0.0%	—	Not comparable

Knowledge

6 benchmarks

Benchmark	LFM2.5-VL-1.6B-Extract	Mistral 8x7B	Result
Artificial Analysis Intelligence IndexSource	1.0%	—	Not comparable
AA-GPQA DiamondSource	28.9%	—	Not comparable
AA-HLESource	5.1%	—	Not comparable
AA-Omniscience IndexSource	-83.9%	—	Not comparable
AA-Omniscience AccuracySource	5.2%	—	Not comparable
AA-Omniscience Hallucination RateSource	94.0%	—	Not comparable

Multimodal

4 benchmarks

Benchmark	LFM2.5-VL-1.6B-Extract	Mistral 8x7B	Result
Liquid Extract JSON ValiditySource	99.6%	—	Not comparable
Liquid Extract F1Source	99.6%	—	Not comparable
Liquid Extract VLM JudgeSource	90.6%	—	Not comparable
AA-MMMU-ProSource	26.5%	—	Not comparable

Inst. Following

1 benchmarks

Benchmark	LFM2.5-VL-1.6B-Extract	Mistral 8x7B	Result
AA-IFBenchSource	33.1%	—	Not comparable

Frequently Asked Questions (3)

Can I compare LFM2.5-VL-1.6B-Extract and Mistral 8x7B 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-VL-1.6B-Extract and Mistral 8x7B today?

Mistral 8x7B: $0.00 input / $0.00 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 23, 2026

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