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Model comparison

Llama 4 Scout vs Mistral 8x7B v0.2

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.
39.87/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Llama 4 Scout #174 (Supported); Mistral 8x7B v0.2 #178 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Llama 4 Scout and Mistral 8x7B v0.2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 18 results are unique to Llama 4 Scout; 0 to Mistral 8x7B v0.2.

Updated July 20, 2026
Shared results
0
Llama 4 Scout only
18
Mistral 8x7B v0.2 only
0
Comparable categories
0 / 8

Benchmark data for Llama 4 Scout and Mistral 8x7B v0.2 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 v0.2 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Llama 4 Scout has the larger context window at 10M, compared with 32K for Mistral 8x7B v0.2.

Operational comparison

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

MetricLlama 4 ScoutMistral 8x7B v0.2Comparison
Input / output priceUSD per 1M tokensLlama 4 Scout$0 input / $0 outputMistral 8x7B v0.2$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondLlama 4 Scout128 tok/sMistral 8x7B v0.2Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLlama 4 Scout0.70 sMistral 8x7B v0.2Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensLlama 4 Scout10MMistral 8x7B v0.232KLlama 4 Scout lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLlama 4 ScoutMistral 8x7B v0.2Result
AA Agentic IndexSource 1.1%Not comparable
τ²-bench resultsSource 15.5%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource 90Not comparable
Coding
BenchmarkLlama 4 ScoutMistral 8x7B v0.2Result
AA Coding IndexSource 8.2%Not comparable
AA-SciCodeSource 17.0%Not comparable
Reasoning
BenchmarkLlama 4 ScoutMistral 8x7B v0.2Result
AA-LCRSource 25.8%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkLlama 4 ScoutMistral 8x7B v0.2Result
Artificial Analysis Intelligence IndexSource 10.0%Not comparable
AA-GPQA DiamondSource 58.7%Not comparable
AA-HLESource 4.3%Not comparable
AA-Omniscience IndexSource -52.4%Not comparable
AA-Omniscience AccuracySource 14.6%Not comparable
AA-Omniscience Hallucination RateSource 78.3%Not comparable
Math
BenchmarkLlama 4 ScoutMistral 8x7B v0.2Result
FrontierMath v2 (Tiers 1-3)Source 0.000%Not comparable
Multimodal
BenchmarkLlama 4 ScoutMistral 8x7B v0.2Result
AA-MMMU-ProSource 52.9%Not comparable
Design Arena WebsiteSource 783Not comparable
Inst. Following
BenchmarkLlama 4 ScoutMistral 8x7B v0.2Result
AA-IFBenchSource 39.5%Not comparable
Frequently Asked Questions (3)

Can I compare Llama 4 Scout and Mistral 8x7B v0.2 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 Llama 4 Scout and Mistral 8x7B v0.2 today?

Llama 4 Scout: $0.00 input / $0.00 output per 1M tokens Mistral 8x7B v0.2: $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.

Self-host vs API cost

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

Llama 4 Scout
API / mo$0
Self-host / mo$2,278
Break-even
Mistral 8x7B v0.2
API / mo$0
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

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Last updated: July 20, 2026

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