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Model comparison

DeepSeek V4 Pro 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.
60.66/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Pro #46 (Supported); Mistral 8x7B v0.2 #178 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro and Mistral 8x7B v0.2 share 0 comparable benchmark results. 0 of 8 categories are comparable. 23 results are unique to DeepSeek V4 Pro; 0 to Mistral 8x7B v0.2.

Updated July 23, 2026
Shared results
0
DeepSeek V4 Pro only
23
Mistral 8x7B v0.2 only
0
Comparable categories
0 / 8

Benchmark data for DeepSeek V4 Pro 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.

DeepSeek V4 Pro is priced at $0.43 input / $0.87 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Mistral 8x7B v0.2. DeepSeek V4 Pro has the larger context window at 1M, 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.

MetricDeepSeek V4 ProMistral 8x7B v0.2Comparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro$0.435 input / $0.87 outputMistral 8x7B v0.2$0 input / $0 outputMistral 8x7B v0.2 has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 ProNot availableMistral 8x7B v0.2Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 ProNot availableMistral 8x7B v0.2Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro1MMistral 8x7B v0.232KDeepSeek V4 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V4 ProMistral 8x7B v0.2Result
Terminal-Bench 2.0Source 59.1%Not comparable
MCP AtlasSource 69.4%Not comparable
ToolathlonSource 46.3%Not comparable
Claw-EvalSource 59.8%Not comparable
Gert LabsSource 50.28%Not comparable
ResearchClawBenchSource 17.1%Not comparable
Coding
BenchmarkDeepSeek V4 ProMistral 8x7B v0.2Result
SWE-bench VerifiedSource 73.6%Not comparable
SWE-bench ProSource 52.1%Not comparable
SWE MultilingualSource 69.8%Not comparable
Terminal-Bench 2.0Source 59.1%Not comparable
Reasoning
BenchmarkDeepSeek V4 ProMistral 8x7B v0.2Result
MRCR 1MSource 44.7%Not comparable
CorpusQA 1MSource 35.6%Not comparable
Knowledge
BenchmarkDeepSeek V4 ProMistral 8x7B v0.2Result
MMLU-ProSource 82.9%Not comparable
SimpleQASource 45%Not comparable
Chinese-SimpleQASource 75.8%Not comparable
GPQASource 72.9%Not comparable
GPQA-DSource 72.9%Not comparable
HLESource 7.7%Not comparable
Math
BenchmarkDeepSeek V4 ProMistral 8x7B v0.2Result
HMMT Feb 2026Source 31.7%Not comparable
IMOAnswerBenchSource 35.3%Not comparable
ApexSource 0.4%Not comparable
Apex ShortlistSource 9.2%Not comparable
Multimodal
BenchmarkDeepSeek V4 ProMistral 8x7B v0.2Result
Design Arena WebsiteSource 1264Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V4 Pro 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 DeepSeek V4 Pro and Mistral 8x7B v0.2 today?

DeepSeek V4 Pro: $0.43 input / $0.87 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.

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Last updated: July 23, 2026

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