+31 20 705 1010
EnglishNederlandsFrançaisDeutschEspañol
AI · LEADERBOARD

The AI Leaderboard

Daily ranking of the strongest AI models. No vendor spin, no marketing pages, just the picks teams actually ship with.

As of 16 October 2026, the top-ranked AI model is Claude Opus 5.5 (max with fallback) by Anthropic. The strongest open-source model is MiMo-V2.6-Pro, and Claude Haiku 5.5 (max) offers the best price-to-performance. Rankings refresh every day at 04:00 Europe/Amsterdam.

Refreshed16 Oct, 04:01 CESTDaily, 04:00 Europe/Amsterdam
Best closed model

Claude Opus 5.5 (max with fallback)

Anthropic

Intel
57.6
Speed
97t/s
Cost in/out
€3.57 / €17.87

Frontier complex reasoning and zero-shot autonomous tasks

Best open model

MiMo-V2.6-Pro

Xiaomi

Intel
46.3
Speed
49t/s
Cost in/out
Provider€0.39 / €0.78

On-premise enterprise deployment needing frontier weights

Best value235.1

Claude Haiku 5.5 (max)

Anthropic

Intel
43.4
Speed
234t/s
Cost in/out
€0.09 / €0.45

Ultra-fast high-volume customer conversational routing

Top 10, side by side

#↑ModelVendorIntelligenceSpeed (tok/s)Cost (€/Mtok)ContextBest for
1
Claude Opus 5.5 (max with fallback)
Anthropic57.697€3.57 / €17.871.0MFrontier complex reasoning and zero-shot autonomous tasks
2
Claude Opus 5.5 (xhigh with fallback)
Anthropic56.078€3.57 / €17.871.0MHigh-tier analytical workflows requiring heavy reasoning
3
Claude Sonnet 5.5 (max with fallback)
Anthropic56.0140€1.79 / €8.931.0MBalanced high-throughput coding and enterprise reasoning
4
Muse Wonder Full (max)
Meta55.8Hardware dependentPricing TBA1.0MFree-tier experimentation with full-parameter capability
5
Claude Opus 5.5 (high with fallback)
Anthropic53.671€3.57 / €17.871.0MComplex enterprise tasks with controlled compute budget
6
Claude Fable 5.1 (max with fallback)
Anthropic53.464€8.93 / €44.661.0MLegacy long-form narrative drafting and deep generation
7
Claude Fable 5.1 (xhigh with fallback)
Anthropic53.254€8.93 / €44.661.0MSpecialised creative generation with rigorous alignment
8
GPT-6 Astra (max)
OpenAI52.749€8.93 / €44.661.0MHigh-end multi-step orchestration and complex planning
9
Gemini 4 Argon (high)
Google52.6Hardware dependent€1.79 / €8.931.0MGoogle-ecosystem enterprise analysis across long contexts
10
Muse Wonder (max)
Meta52.4133€3.57 / €17.871.0MFast commercial general intelligence with 1M context
#1 · proprietary

Claude Opus 5.5 (max with fallback)

Anthropic

Intel
57.6
Speed
97 t/s
Cost
€3.57 / €17.87
Ctx
1.0M

Frontier complex reasoning and zero-shot autonomous tasks

#2 · proprietary

Claude Opus 5.5 (xhigh with fallback)

Anthropic

Intel
56.0
Speed
78 t/s
Cost
€3.57 / €17.87
Ctx
1.0M

High-tier analytical workflows requiring heavy reasoning

#3 · proprietary

Claude Sonnet 5.5 (max with fallback)

Anthropic

Intel
56.0
Speed
140 t/s
Cost
€1.79 / €8.93
Ctx
1.0M

Balanced high-throughput coding and enterprise reasoning

#4 · proprietary

Muse Wonder Full (max)

Meta

Intel
55.8
Cost
Pricing TBA
Ctx
1.0M

Free-tier experimentation with full-parameter capability

#5 · proprietary

Claude Opus 5.5 (high with fallback)

Anthropic

Intel
53.6
Speed
71 t/s
Cost
€3.57 / €17.87
Ctx
1.0M

Complex enterprise tasks with controlled compute budget

#6 · proprietary

Claude Fable 5.1 (max with fallback)

Anthropic

Intel
53.4
Speed
64 t/s
Cost
€8.93 / €44.66
Ctx
1.0M

Legacy long-form narrative drafting and deep generation

#7 · proprietary

Claude Fable 5.1 (xhigh with fallback)

Anthropic

Intel
53.2
Speed
54 t/s
Cost
€8.93 / €44.66
Ctx
1.0M

Specialised creative generation with rigorous alignment

#8 · proprietary

GPT-6 Astra (max)

OpenAI

Intel
52.7
Speed
49 t/s
Cost
€8.93 / €44.66
Ctx
1.0M

High-end multi-step orchestration and complex planning

#9 · proprietary

Gemini 4 Argon (high)

Google

Intel
52.6
Cost
€1.79 / €8.93
Ctx
1.0M

Google-ecosystem enterprise analysis across long contexts

#10 · proprietary

Muse Wonder (max)

Meta

Intel
52.4
Speed
133 t/s
Cost
€3.57 / €17.87
Ctx
1.0M

Fast commercial general intelligence with 1M context

Which model for which job

Nine scenarios SevenLab teams ship every week. Steal our picks.

  1. customer support chat

    • Blazing 234 tok/s delivers immediate real-time response
    • Rock-bottom €0.45 per Mtok output keeps chat margins high
    • Generous 1M context supports extensive user interaction history
    Claude Haiku 5.5 (max)

  2. code generation and refactoring

    • Market-leading intelligence score of 57.6 dominates benchmarks
    • Solid 97 tok/s ensures developer workflows stay snappy
    • Full 1M token context accommodates huge monorepo codebases
    Claude Opus 5.5 (max with fallback)

  3. document extraction

    • Class-leading 1048576 token context swallows giant archives
    • Open-weights format allows deep operational customization
    • Proven resilience across massive long-form retrieval tests
    Kimi K3 (max)

  4. long context analysis

    • Uncapped 1048576 token window beats standard 1M offerings
    • Open-weights access eliminates enterprise telemetry leakage
    • Solid 43.6 intelligence handles dense cross-document synthesis
    Kimi K3 (max)

  5. on-prem sovereign deployment

    • Highest intelligence among open-weights category at 46.3
    • Ultra-low token pricing of €0.78 per Mtok output equivalent
    • Expansive 1M context window for fully isolated hosting
    MiMo-V2.6-Pro

  6. multimodal vision workloads

    • Frontier 57.6 intelligence sets the current benchmark standard
    • Exceptional Anthropic multimodal comprehension across diagrams
    • Robust 97 tok/s generation avoids interface latency bottlenecks
    Claude Opus 5.5 (max with fallback)

  7. agentic automation pipelines

    • Top-ranked 57.6 intelligence reliably resolves recursive loops
    • Anthropic tool calling offers best-in-class reliability
    • Massive 1M context retains complex execution call histories
    Claude Opus 5.5 (max with fallback)

  8. multilingual translation

    • Supreme 57.6 intelligence translates complex idioms flawlessly
    • Fast 97 tok/s throughput handles substantial localization volumes
    • Huge context handles complete book or manual localization
    Claude Opus 5.5 (max with fallback)

  9. structured data extraction

    • Largest context window available at 1048576 tokens
    • Open-weights setup enables fine-tuned schema compliance
    • Dependable extraction accuracy over complex financial filings
    Kimi K3 (max)

How we rank

  • Snapshot taken 10/16/2026, 2:01:02 AM
  • Value score = (intelligence − 25)² × min(1, speed ÷ 30) ÷ (input cost + output cost × 3). Output is weighted ×3 because real usage is output-heavy; intelligence is squared so cheap-but-weak models can't dominate.
  • Intelligence, price and speed data by Artificial Analysis.

Daily refresh at 04:00 Europe/Amsterdam. Numbers move; we don't smooth them.

FAQ

AI leaderboard FAQ

A new model just dropped?We track every major release in our daily AI news feed.Read the latest AI news
Explore more

Related AI topics

Optimising production with AI quality control systems

We pick the model. Then we build the thing.

Building or buying with AI?

Talk directly with our AI specialists

15 min, no strings
No sales pressure
Prototype in 7 days