Skip to contentT/TTokens or Towers

Compare

LeaderboardEvery tracked model, ranked and priced side by sideBenchmarksWhat each test measures and who leads itPricesAPI, media, and hardware rates with a cost calculator

Plan

Stack plannerSix questions to a priced local and hosted stackShortlistOur picks for subscriptions, APIs, and hardwareEnterpriseSeat plans against self-hosting for a whole team

Build

HardwareGPUs and workstations, and which models they fitHostsWhere to rent open-weight inference, and for how muchHarnessesCoding agents and the models they drive

Lab

FindingsResults from our own evaluationsScanAudit a repo’s AI usage in the browserMethodWhere the numbers come from and how we check them
Data checked September 25, 2026
Data checked September 25, 2026
Plan a stack
T/TTokens or Towers

An independent guide to AI models, what they cost, and the hardware to run them. No account, no API key, no sponsors.

Compare

  • Leaderboard
  • Benchmarks
  • Prices

Plan

  • Stack planner
  • Shortlist
  • Enterprise

Build

  • Hardware
  • Hosts
  • Harnesses

Lab

  • Findings
  • Scan
  • Method
Data checked September 25, 2026 · Every number links to its sourceRSS · Source on GitHub
Leaderboard/Prime Intellect
Prime Intellect

Prime Intellect · INTELLECT

INTELLECT-3

Open weightsGenerally availableMIT

Prime Intellect's open reasoning model built on GLM-4.5-Air (107B/12B active).

AA Intelligence
10.6#97 of 142
Price
Self-host
Output speed
—
Context window
131K tokens

Composite indexes

  • Artificial Analysis Intelligence Index#97 of 142
    11independentIntelligence Index v4.3; reasoning; estimatedArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

    Leader: Claude Opus 5.5 at 58

Coding

  • LiveCodeBench#12 of 56
    77.7%independentreasoningArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

    Leader: Fugu at 92.9%

Agents and tool use

  • τ²-Bench#59 of 88
    26.6%independenttelecom; reasoningArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

    Leader: GLM-5.2 at 99.1%

Reasoning and knowledge

  • GPQA Diamond#83 of 142
    76.1%independentreasoningArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

    Leader: GPT-6 Astra at 96.1%

  • Humanity’s Last Exam#85 of 147
    13.1%independentno tools; reasoningArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

    Leader: Claude Opus 5.5 at 61.4%

  • CritPt#88 of 139
    0.3%independentreasoningArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

    Leader: GPT-5.6 Sol at 32.3%

Vision and long context

  • AA Long Context Reasoning#96 of 139
    39.7%independentreasoningArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

    Leader: Kimi K3 at 88.7%

Other published results

ResultScoreReported bySource
aime-2025 · AIME 2025; reasoning88%independentArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗
Terminal-Bench Hard (AA) · reasoning9.1%independentArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗
IFBench · reasoning34%independentArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗
AA-Omniscience Index · reasoning-50.9 indexindependentArtificial Analysis: INTELLECT-3 (based on GLM-4.5-Air) ↗

Specs

Released
November 27, 2025
Parameters
107B total, 12B active
Size class
100 to 500B
Input
text
Output
text
Context
131K tokens
Max output
Not published

    Will it fit your budget?

    The planner prices this model against local hardware and other APIs for your workload.

    Plan a stack →

    Compare with

    • Arcee AITrinity Large Thinking10.8
    • NVIDIANemotron 3 Nano Omni 30B A3B Reasoning10.3
    • IBMGranite 4.2 8B11.1
    • MetaLlama 4 Maverick10