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Model comparison

GPT-5.1 vs Mistral 8x7B

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
53.65/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-5.1 #94 (Estimated); Mistral 8x7B #146 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.1 and Mistral 8x7B share 0 comparable benchmark results. 0 of 8 categories are comparable. 21 results are unique to GPT-5.1; 0 to Mistral 8x7B.

Updated July 21, 2026
Shared results
0
GPT-5.1 only
21
Mistral 8x7B only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.1 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.

GPT-5.1 is priced at $1.25 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mistral 8x7B. GPT-5.1 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.

MetricGPT-5.1Mistral 8x7BComparison
Input / output priceUSD per 1M tokensGPT-5.1$1.25 input / $10 outputMistral 8x7B$0 input / $0 outputMistral 8x7B has the lower combined listed price.
Generation speedtokens per secondGPT-5.1111 tok/sMistral 8x7BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.157.47 sMistral 8x7BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.1200KMistral 8x7B32KGPT-5.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.1Mistral 8x7BResult
AA Agentic IndexSource 21.0%Not comparable
τ²-bench resultsSource 81.9%Not comparable
Gert LabsSource 41.24%Not comparable
GDPval-AASource 24.4%Not comparable
GDPval-AASource 987Not comparable
Coding
BenchmarkGPT-5.1Mistral 8x7BResult
Vibe Code BenchSource 24.61%Not comparable
AA Coding IndexSource 49.4%Not comparable
AA-SciCodeSource 43.3%Not comparable
Reasoning
BenchmarkGPT-5.1Mistral 8x7BResult
AA-LCRSource 75.0%Not comparable
CritPtSource 4.9%Not comparable
Knowledge
BenchmarkGPT-5.1Mistral 8x7BResult
Artificial Analysis Intelligence IndexSource 36.9%Not comparable
AA-GPQA DiamondSource 87.3%Not comparable
AA-HLESource 26.5%Not comparable
AA-Omniscience IndexSource 5.6%Not comparable
AA-Omniscience AccuracySource 37.6%Not comparable
AA-Omniscience Hallucination RateSource 51.3%Not comparable
Math
BenchmarkGPT-5.1Mistral 8x7BResult
FrontierMath v2 (Tiers 1-3)Source 31.034%Not comparable
FrontierMath v2 (Tier 4)Source 12.500%Not comparable
Multimodal
BenchmarkGPT-5.1Mistral 8x7BResult
AA-MMMU-ProSource 75.5%Not comparable
Design Arena WebsiteSource 1217Not comparable
Inst. Following
BenchmarkGPT-5.1Mistral 8x7BResult
AA-IFBenchSource 72.9%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5.1 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 GPT-5.1 and Mistral 8x7B today?

GPT-5.1: $1.25 input / $10.00 output per 1M tokens 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 21, 2026

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