Skip to main content

AnthropicMistral AILLM matchup

Claude Fable 5.2vs.Mistral Large 4

Which one is better?

Claude Fable 5.2 performs better than Mistral Large 4, but costs 11.4 times (input) and 19 times (output) as much.

Fable 5.2 ahead
IntelligenceOverall index, 100 points = average
130.9

Claude Fable 5.2

Rank 1

100.8

Mistral Large 4

Rank 28

Mistral Large 4 cheaper
Price$ per 1M tokens
$16

Claude Fable 5.2

$1.05

Mistral Large 4

Popularity0 to 100
n/a

Claude Fable 5.2

36

Mistral Large 4

Rank 226 of 449

Choose Claude Fable 5.2 for

KnowledgeGeneralCodingReasoningAgentsFinanceLegal (not certain)

Choose Mistral Large 4 for

No clear advantage

Where is the difference?

Strengths at a glance

Fable 5.2Mistral Large 4Median of all ranked models

10512514516585CodingFable 5.2ReasoningFable 5.2KnowledgeFable 5.2AgentsFable 5.2GeneralFable 5.2FinanceFable 5.2LegalslightlyFable 5.2
CodingFable 5.2 ahead
Fable 5.2131.6Rank 1
Mistral Large 4102.0Rank 25
Median of ranked models87.4

95 % range: Fable 5.2 122.0 to 141.1, Mistral Large 4 96.8 to 107.2.

AreaFable 5.2Mistral Large 4

The same values and verdicts as the bars below. In the close-up the net starts at 85 points, just below the weaker model's lowest value; the reference group average is 100. Not in the net because a model has no own value there or the data are too thin: Mathematics, Multimodal, Health.

Fable 5.2 is ahead in 6 of 8 areas, Mistral Large 4 in none.

Fable 5.2 ahead: 6Fable 5.2 slightly ahead: 1too little data: 1

Areas in the overall index
KnowledgeFable 5.2 +49145.5 to 96.6
GeneralFable 5.2 +39132.8 to 94.1
CodingFable 5.2 +30131.6 to 102.0
ReasoningFable 5.2 +26124.9 to 99.1
AgentsFable 5.2 +23124.2 to 101.6
Mathematicsonly Fable 5.2 has a score
Specialist fields
FinanceFable 5.2 +19123.5 to 104.2
Legalleaning Fable 5.2not certain · 3 and 2 tests

Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.

Claude Fable 5.2 vs. Mistral Large 4 at the same effort

Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.

mediumFable 5.2 ahead
36.7 points gap across 10 shared test series
highFable 5.2 ahead
38.2 points gap across 9 shared test series
Overall index (max vs. high)Fable 5.2 ahead
Fable 5.2 130.9 vs. Mistral Large 4 100.8

The gap compares only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors.

Which model for which task?

Everyday tasks, translated from the area values above. Each row names the values it rests on.

Writing and debugging codeFable 5.2Coding 131.6 to 102.0
Maths and data analysisFable 5.2Mathematics without a score for Mistral Large 4, Reasoning 124.9 to 99.1
Facts and researchFable 5.2Knowledge 145.5 to 96.6
Agents and workflowsFable 5.2Agents 124.2 to 101.6
Many requests on a small budgetMistral Large 4$16 to $1.05 per 1M tokens
Finance, legal and medical textsFable 5.2Finance 123.5 to 104.2, Legal 120.9 to 105.9

Claude Fable 5.2 vs. Mistral Large 4 in our own test

The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.

This is the lowest documented setting for each provider. It does not make compute comparable across models.

Pelican on a bicycle

Prompt

Generate an SVG of a pelican riding a bicycle

Task origin: Simon Willison

Claude Fable 5.2

Not tested yet

Mistral Large 4

Mistral Large 4: Pelican on a bicycle
A community classic for free-form SVG drawing.

Oct 11, 2026 · 29 s · $0.0061

Test details
Run date
Oct 11, 2026
API provider
Mistral
Requested API model
mistralai/mistral-large-4-0
Reasoning setting
none
Token limit including reasoning
8,192 tokens
Reasoning tokens
0
Output tokens
2,936 tokens
Cost of the attempt
$0.0061
Response time
28.7 s
API model reported in response
mistralai/mistral-large-4-0
Pinned endpoint
Mistral | mistralai/mistral-large-4-0-20261006
Temperature
Provider default
Test protocol
community-visual-low-v1
Technical checks
Passed, not a quality rating

Visually reviewed. This individual test does not establish overall model quality.

SVG short test

There is no shared test round for this selection. Results from different rounds are not mixed.

Claude Fable 5.2 and Mistral Large 4 in the overall index

Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.

Overall index (Gradually Meta-Score v5)

20 of 94 models

5 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.

Claude Fable 5.2max130.9
Gemini 4 Carbonhigh127.0
Claude Opus 5.5max125.6
Claude Fable 5.1max124.1
Claude Sonnet 5.5max121.8
Gemini 4 Argonhigh121.4
GPT-6 Astramax120.2
Muse Wonder Fullmax118.1
GPT-6.1 Solmax118.0
Claude Opus 5max117.4
Muse Wondermax113.3
Claude Fable 5max112.8
Kimi K3.1 Promax112.6
Muse Ember 1.0max110.4
GPT-6 Solmax109.1
GPT-5.6 Solmax109.1
Gemini 3.7 Flashhigh107.9
Muse Spark 1.3max107.3
Gemini 3.8 Flashhigh106.8
Mistral Large 4high100.8

Popularity compared

How often the models are searched for, used and mentioned, on a scale from 0 to 100.

Claude Fable 5.2 has no popularity score yet.

Over time

The timeline appears once both models have two values.

All data side by side

The better value is bold. For the overall index only when the gap is clear.

MetricClaude Fable 5.2Mistral Large 4
Intelligence
Overall indexpoints, 100 = reference group average, higher is better130.9100.8
RankRank 1 of 94Rank 28 of 94
Price per 1M tokens
Inputwhat you send$8$0.70
Outputwhat the model writes$40$2.10
Speed
Tokens per secondn/an/a
Popularity
Popularitysearch, usage and mentions, 0 to 100n/a36Rank 226 of 449
Technical
Context windowhow much text the model reads at once1 M tokens≈ 1,500 A4 pages1.05 M tokens≈ 1,570 A4 pages
Knowledge cutoffJune 2026n/a
ReleasedNov 9, 2026Oct 6, 2026
AvailabilityActiveActive
Open weightsnoyes
  • Claude Fable 5.2, Batch pricing: $4 input and $20 output per million tokens, separate from standard API pricing. Source
  • Claude Fable 5.2, Fast pricing: $16 input and $80 output per million tokens. Fast is a separate serving mode. Source
  • Mistral Large 4, Pricing since October 6, 2026: Mistral announced a 50% discount for two weeks: $0.68 input, $2.09 output and $0.07 cache read per 1M tokens instead of $1.36, $4.18 and $0.14. That list price then applied until Mistral lowered it to the current rates with the weights release on October 29. Source

Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis

Is there a better choice?

Cheaper than Mistral Large 4Muse Ember 1.0

Overall index 110.4, rank 14$0.10 input and $0.50 output per 1M tokens

View profile

Shared benchmarks

Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.

No directly comparable result yet

No published benchmark for Claude Fable 5.2 and Mistral Large 4 currently matches in version, task and metric. We therefore show no estimated or blended values.

More comparisons

Compare Claude Fable 5.2 and Mistral Large 4 with the models people compare them with most often.

Compare another matchup

The most popular comparisons

  1. 1GLM-5.3 vs. Mistral Large 4
  2. 2Claude Fable 5.2 vs. Kimi K3
  3. 3GLM-5.3-Flash vs. Mistral Large 4
  4. 4DeepSeek-V4.1-Flash vs. Mistral Large 4
  5. 5Claude Opus 5.5 vs. Mistral Large 4
  6. 6DeepSeek-V4-Flash vs. Mistral Large 4
  7. 7Qwen 3.8 27B vs. Mistral Large 4
  8. 8Gemini 3.8 Flash vs. Mistral Large 4
  9. 9Claude Opus 5 vs. Mistral Large 4
Show all 34 comparisons
  1. 10DeepSeek-V4-Pro vs. Mistral Large 4
  2. 11Claude Sonnet 4.5 vs. Mistral Large 4
  3. 12DeepSeek V4.1 Flash 1017 vs. Mistral Large 4
  4. 13Claude Sonnet 5 vs. Mistral Large 4
  5. 14Mistral Large 4 vs. Mistral Large 3
  6. 15Claude Sonnet 5.5 vs. Mistral Large 4
  7. 16Kimi K3 vs. Mistral Large 4
  8. 17Claude Haiku 5.5 vs. Mistral Large 4
  9. 18GPT-5.6 Luna vs. Mistral Large 4
  10. 19Qwen 3.8 Max 0902 vs. Mistral Large 4
  11. 20GLM-5.2 vs. Mistral Large 4
  12. 21GPT-6 Luna vs. Mistral Large 4
  13. 22GPT-6 Sol vs. Mistral Large 4
  14. 23Mistral Large 4 vs. Mistral Medium 3.5
  15. 24GLM-5.1 vs. Mistral Large 4
  16. 25Claude Fable 5.1 vs. Mistral Large 4
  17. 26Muse Spark 1.3 vs. Mistral Large 4
  18. 27Claude Opus 4.8 vs. Mistral Large 4
  19. 28Claude Fable 5 vs. Mistral Large 4
  20. 29Claude Opus 4.6 vs. Mistral Large 4
  21. 30Claude Fable 5.2 vs. Claude Opus 5.5
  22. 31Gemini 4 Carbon vs. Mistral Large 4
  23. 32GPT-6.1 Terra vs. Mistral Large 4
  24. 33Claude Fable 5.2 vs. Claude Haiku 5.5
  25. 34Kimi K3.1 Pro vs. Mistral Large 4