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Thinking Machines Launches Inkling 2 Small: 594B/17B MoE, Vendor-Reported AA Intelligence Index ~31; Tinker Inference and Fine-Tuning Now, Apache 2.0 Weights Planned Next Week

On November 5 Thinking Machines Lab introduced Inkling 2 Small, the first second-generation model: a 594B-total / 17B-active MoE with image input and variable thinking effort. The company reports an Artificial Analysis Intelligence Index score of about 31, with large gains versus prior Inkling models in agentic coding, vision and knowledge work. It is available now on Tinker for inference and fine-tuning with closed weights; full Apache 2.0 weights are planned next week after external safety testing. Tinker list pricing is about $0.30/$1.00 per million input/output tokens at 64K context.

Thinking Machines Launches Inkling 2 Small: 594B/17B MoE, Vendor-Reported AA Intelligence Index ~31; Tinker Inference and Fine-Tuning Now, Apache 2.0 Weights Planned Next Week

Key Takeaways

  • Specs (official): 594B total / 17B active MoE; Hybrid + Vision; variable effort; no audio (unlike prior Inkling)
  • Scores (vendor): AA Intelligence Index ~31; FrontierCode v2.0 ~25.4%; DeepSWE v1.1 ~72.1%; DesignArena Website Elo ~1340
  • Availability: Tinker Playground / fine-tune and sampling today; closed weights; Apache 2.0 full weights planned next week after safety tests
  • Pricing (Tinker docs): Prefill $0.30 / Sample $1.00 / Train $1.50 per 1M tokens at 64K; cached Prefill $0.03
  • Training note (official): joint RL ~1,075 steps and 17M+ rollouts; early checkpoints tested on OpenCode as Fledge-Alpha
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Linked Models & Agents:
⚡ Inkling 2 Small⚡ Inkling-Small⚡ Inkling🤖 OpenCode🤖 Tinker🌐 Thinking Machines

TechCrunch/The Information: Thinking Machines in talks for Accel-led ~$1B at ≥$40B

TechCrunch, citing The Information and a source, says Thinking Machines — founded by former OpenAI CTO Mira Murati — is in talks to raise about $1B at a valuation of at least ~$40B, with existing backer Accel discussing a lead. That would still be below the ~$50B it reportedly sought late last year. A source puts annual revenue run-rate above ~$100M, implying a very high revenue multiple. In July the lab launched open-weight Inkling and monetizes via Tinker's usage-based compute for adapting models on proprietary data. Its prior ~$2B seed (a16z-led with Nvidia, GV, Lightspeed, Conviction) valued it at ~$12B; since then co-founders including Lilian Weng and Luke Metz returned to OpenAI. Accel and Thinking Machines did not immediately comment.

Key Takeaways

  • Talks for ~$1B at ≥~$40B; Accel discussing lead
  • ARR reportedly >~$100M; still below ~$50B sought late last year
  • Product: open-weight Inkling + Tinker fine-tune compute; prior seed ~$2B / ~$12B
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