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# Same Performance.  
Full Control.

GDPval-AA v2 leaderboard · Elo

GDPval-AA v2 evaluates models on real-world work tasks and expresses performance as an Elo rating, anchored to a human baseline of 1,000 — higher is better.

Human baseline (1,000)

1.  Claude Fable 5.1
    
    1764
    
    Claude Fable 5.1
    
    Anthropic
    
    Elo rating: 1764
    
    Released: August 2026
    
    Anthropic’s currently strongest closed model — leads the ranking.
    
2.  Claude Opus 5
    
    1735
    
    Claude Opus 5
    
    Anthropic
    
    Elo rating: 1735
    
    Released: June 2026
    
    Anthropic’s new Opus flagship — a close second behind Fable 5.1.
    
3.  GLM 5.3 on Platte
    
    1676
    
    GLM 5.3 on Platte
    
    Z.ai
    
    Elo rating: 1676
    
    Released: August 2026
    
    Z.ai’s open flagship — ranks above GPT-6, and therefore above every OpenAI model. Runs on Platte’s own infrastructure in Europe, under European law.
    
4.  Qwen 3.8 on Platte
    
    1628
    
    Qwen 3.8 on Platte
    
    Alibaba
    
    Elo rating: 1628
    
    Released: August 2026
    
    Alibaba’s open flagship — also still above GPT-6. Served on Platte in Europe, under European law.
    
5.  GPT-6
    
    1580
    
    GPT-6
    
    OpenAI
    
    Elo rating: 1580
    
    Released: August 2026
    
    OpenAI’s frontier model — ranked below the open models GLM 5.3 and Qwen 3.8.
    
6.  Gemini 3.8 Flash (high)
    
    1464
    
    Gemini 3.8 Flash (high)
    
    Google
    
    Elo rating: 1464
    
    Released: August 2026
    
    Google’s efficient Flash model in its high-reasoning mode — clearly above the human baseline, but behind the frontier.
    
7.  ![](/_astro/logo-mistral.BvylSTig_Z2jBGuN.webp)Mistral Medium 3.5
    
    875
    
    ![](/_astro/logo-mistral.BvylSTig_ZXW2Ou.webp)Mistral Medium 3.5
    
    Mistral
    
    Elo rating: 875
    
    Released: November 2025
    
    The mid-tier offering of Europe’s largest model maker — the only model shown below the human baseline of 1,000.
    

[Chart: artificialanalysis.ai](https://artificialanalysis.ai/) · As of: September 4, 2026 · All models shown are the current top models of their respective companies.

Models on Platte

## Current model lineup, on EU infrastructure

Every model runs on Platte in European data centres, under European law. Intelligence and cost per task are measured by Artificial Analysis, independently of the model makers.

### GLM 5.3

Z.ai

Intelligence

45

Avg. cost per task

$2.01

Input / output

€2.00 / €5.20 per 1M tokens

Context window

1M tokens

-   Reasoning

### GLM 5.3 Flash

Z.ai

Intelligence

42

Avg. cost per task

$0.28

Input / output

€0.60 / €1.20 per 1M tokens

Context window

1M tokens

-   Reasoning
-   Image Vision

### Qwen 3.8 2.4T (A95B)

Alibaba

Intelligence

40

Avg. cost per task

$2.16

Input / output

€3.00 / €6.50 per 1M tokens

Context window

262K tokens

-   Reasoning

### Qwen 3.8 Flash Next

Alibaba

Intelligence

40

Avg. cost per task

$0.37

Input / output

€0.60 / €1.20 per 1M tokens

Context window

256K tokens

-   Reasoning
-   Image Vision

### DeepSeek V4.1 Flash

DeepSeek

Intelligence

39

Avg. cost per task

$0.27

Input / output

€0.75 / €2.50 per 1M tokens

Context window

1M tokens

-   Reasoning
-   Image Vision

### DeepSeek V4 Flash (0731)

DeepSeek

Intelligence

34

Avg. cost per task

$0.22

Input / output

€0.60 / €0.90 per 1M tokens

Context window

1M tokens

-   Reasoning

Intelligence, cost per task, context window and capabilities: [Artificial Analysis](https://artificialanalysis.ai/leaderboards/models) (Intelligence Index v4.3.2, each at maximum reasoning effort), as of October 14, 2026. Artificial Analysis computes the cost per task at its own reference prices in US dollars — it compares the models with each other and is not the price on Platte.

Prices for the API and extra usage: [Platte price list](/documents/26-09-21_Preisliste-Platte-AP.pdf), as of September 21, 2026, excl. VAT.
