Venice Medium
mistral/mistral-large- Mistral
- Family · Venice Medium
- Released 26 Feb 2024
- Text · File → Text
- Tools · JSON
Not on OSMEXO yet
Spec & list price
Context125K
Max output100K
Input / 1M$2.00
Output / 1M$6.003× input
Scores · standing
Intelligence5.8#406/489
Usage
Tokens / day34.0M▼ 24% 7d
Usage rank#353
Requests / day5.6K
Tool calls / req0.03
Per request · 30 days
Avg input3.0K0.2× median
Avg output696about median
Cache hit40%0.6× median
Tool-call failures3.6%1.9× median
Consumption
Peak 107.0M 25 OctLow 21.9M 1 NovRank today #353
News & trends
106 mentions this week ▲ 430%this model · videos, posts, articles · 30 days
Trending · 14 days
- Science Behind the Open Cyber Frontier with Mistral Large 46.2K views
- ArtificialAnalysis released an updated scoring. v5.0 pushes Mistral Large V4 Preview down to 25 points, 8 months behind SOTA, 14th best lab.54 upvotes
- Introducing Mistral Large 4, Le Chonk.44.9K views
News
- transformers v5.22.0: v5.22.0: Mistral Large 4 (Le Chonk)29 Oct
- Le Chonk: Built for Coders, Trusted by Defenders.Mistral AI · 29 Oct
- Welcome Le Chonk: Mistral Large 4 on Hugging Face29 Oct
- Introducing Mistral Large 4Mistral AI · 6 Oct
Benchmarks
bar = share of the top score · Benchmark data: Artificial AnalysisSpeed · median across providers, latest day
Output speed#143/33474 tok/s1.1× faster than median
First token#750.56 s1.8× quicker than median
#21 cheapest of 29 with a similar score
Value
Intelligence Index
Blended price per 1M tokens (log)
Technical details
- Tokenizer
- Mistral
- Knowledge cutoff
- 2024-11-30
- Moderation
- none
Request parameters 11
- tools
- tool_choice
- response_format
- structured_outputs
- temperature
- top_p
- max_tokens
- stop
- seed
- frequency_penalty
+1 more
- presence_penalty
Interesting facts
- 6.3× the output room of similar models (102.4K against a 16.4K median).
- Weekdays average 36.1M tokens a day against 43.4M on weekends.
When to use
Best for
- General-purpose chat and drafting
- Function-calling assistants
- Knowledge and multiple-choice style Q&A
- Structured JSON extraction
Think twice for
- Image understanding (text and file input only)
- Hard competition math and frontier reasoning
- Very long documents
- Agentic coding work
Research papers
- SlopBench: How Well Can We Rank Language Models by Slop? A Multi-Domain Benchmark of Repetitive AI Writing27 Sep
- Aging of Prompt Engineering Techniques Across LLM Versions25 Aug
- BeliefShift: Benchmarking Temporal Belief Consistency and Opinion Drift in LLM Agents25 Mar
- ItinBench: Benchmarking Planning Across Multiple Cognitive Dimensions with Large Language Models19 Mar
- Auto-Evolve: Enhancing Large Language Model's Performance via Self-Reasoning Framework8 Oct
Alternatives
other vendors · similar capability- 9.0
- 8.4
- 7.7
- 7.7
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