All Releases

Mistral Large 4 vs Claude Sonnet 5.5: Release Comparison

Comparison of the Mistral Large 4 and Claude Sonnet 5.5 releases: 2 and 5 models respectively, each with different intelligence, performance, and pricing characteristics. Below is a comparison of the key metrics across all 7 models.

  • For intelligence, Claude Sonnet 5.5 scores highest: Claude Sonnet 5.5 (Max, Default Fallback) at 54, against Mistral Large 4 (High) at 26 for Mistral Large 4.
  • For cost per task, Claude Sonnet 5.5 is cheapest: Claude Sonnet 5.5 (Low, Default Fallback) at $0.51, against Mistral Large 4 (Medium) at $1.41 for Mistral Large 4.
Model Playground

Releases compared

Claude Sonnet 5.5 (max with fallback)Claude Sonnet 5.5 (xhigh with fallback)Claude Sonnet 5.5 (high with fallback)Claude Sonnet 5.5 (medium with fallback)Mistral Large 4 (high)Claude Sonnet 5.5 (low with fallback)Mistral Large 4 (medium)
Intelligence Index
54
50
41
30
26
25
23
Finance & Accounting
56
49
44
41
39
36
35
Strategy & Ops
58
54
51
47
43
42
39
Legal
52
47
44
39
35
37
31
Healthcare & Medical
54
47
44
40
--
37
--
Cost per TaskUSD
$10.02
$4.09
$1.64
$0.78
$2.06
$0.51
$1.41
Output SpeedTokens/s
137
108
107
104
--
106
--
Time to First Tokens
514.91
32.94
12.59
1.22
--
1.15
--
Context Window
1M
1M
1M
1M
1M
1M
1M
Creator
Anthropic
Anthropic
Anthropic
Anthropic
Mistral
Anthropic
Mistral
License
Proprietary
Proprietary
Proprietary
Proprietary
Open
Proprietary
Open
Input Modality

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Supports: text and image

Output Modality

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Supports: text

Providers
AnthropicMicrosoft AzureAmazon BedrockGoogle
Anthropic
Anthropic
Anthropic
Mistral
GoogleAnthropicAmazon BedrockMicrosoft Azure
Mistral
Updated
Artificial Analysis Intelligence Index · Higher is better
Output tokens per second · Higher is better
Weighted average cost (USD) per Intelligence Index task · Lower is better

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v5.0 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task
Most attractive quadrant
Mistral Large 4
Claude Sonnet 5.5
Pareto line

Cost per Task (USD, Log Scale)

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

Speed & Latency

Output Speed

Output tokens per second · Higher is better

Capability Scores

Capability Indexes

Measures the performance of models on specific capabilities and industries
Finance & Accounting Index

Incorporates 5 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, AutomationBench-AA, GDP.pdf · Higher is better

Strategy & Ops Index

Incorporates 4 evaluations: AutomationBench-AA, AA-Briefcase v1.1, AA-Omniscience v1.1, GDP.pdf · Higher is better

Legal Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, HLE-Diamond, GDP.pdf, AutomationBench-AA · Higher is better

Healthcare & Medical Index

Incorporates 5 evaluations: AA-Omniscience v1.1, AA-Briefcase v1.1, MLCR-AA, AutomationBench-AA, HLE-Diamond · Higher is better

Engineering Index

Incorporates 7 evaluations: AA-Omniscience v1.1, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1, HLE-Diamond, Terminal-Bench 4.0, FrontierCode 2.0, AA-Briefcase v1.1 · Higher is better

Economics Index

Incorporates 4 evaluations: AA-Briefcase v1.1, AA-Omniscience v1.1, HLE-Diamond, GDP.pdf · Higher is better

AA-PersonalityBenchNew

Personality Indexes

Each axis is one of 8 personality indexes: the mean of its traits’ Elo z-scores, percentile ranked from 1 to 100 across all models evaluated in the benchmark