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Model comparison

Mistral 8x7B vs o3-mini

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.
N/A
No comparison
OpenAI
46.59/100
0 category wins0 category wins

Public leaderboard positions: Mistral 8x7B #153 (Estimated); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Mistral 8x7B and o3-mini share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Mistral 8x7B; 10 to o3-mini.

Updated July 24, 2026
Shared results
0
Mistral 8x7B only
0
o3-mini only
10
Comparable categories
0 / 8

Benchmark data for Mistral 8x7B and o3-mini 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.

o3-mini is priced at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mistral 8x7B. o3-mini has the larger context window at 200K, compared with 32K for Mistral 8x7B.

Operational comparison

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

MetricMistral 8x7Bo3-miniComparison
Input / output priceUSD per 1M tokensMistral 8x7B$0 input / $0 outputo3-mini$1.1 input / $4.4 outputMistral 8x7B has the lower combined listed price.
Generation speedtokens per secondMistral 8x7BNot availableo3-mini160 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenMistral 8x7BNot availableo3-mini7.12 sA complete latency comparison is not available.
Context windowmaximum listed tokensMistral 8x7B32Ko3-mini200Ko3-mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkMistral 8x7Bo3-miniResult
τ²-bench resultsSource 28.7%Not comparable
Coding
BenchmarkMistral 8x7Bo3-miniResult
SWE-bench VerifiedSource 49.3%Not comparable
AA-SciCodeSource 39.9%Not comparable
Knowledge
BenchmarkMistral 8x7Bo3-miniResult
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Artificial Analysis Intelligence IndexSource 19.0%Not comparable
AA-GPQA DiamondSource 74.8%Not comparable
AA-HLESource 8.7%Not comparable
Math
BenchmarkMistral 8x7Bo3-miniResult
AIME 2024Source 87.3%Not comparable
Inst. Following
BenchmarkMistral 8x7Bo3-miniResult
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare Mistral 8x7B and o3-mini 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 Mistral 8x7B and o3-mini today?

Mistral 8x7B: $0.00 input / $0.00 output per 1M tokens o3-mini: $1.10 input / $4.40 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 24, 2026