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Accel set to lead $5 billion into Thinking Machines at a $40 billion valuation

The unconfirmed round values the lab founded by former OpenAI chief technology officer Mira Murati at roughly 400 times its reported revenue, for a model whose open-licensed weights are still withheld. Their release, promised within weeks, is the first fact under the price that anyone outside can check.

Richard TangRichard Tangthree-minute read
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Thinking Machines Lab founder Mira Murati with Nvidia chief executive Jensen Huang
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Thinking Machines Lab founder Mira Murati with Nvidia chief executive Jensen Huang, whose undisclosed March investment and reported $2.5 billion consideration in the current round underpin the lab's $40 billion mark.

The venture firm Accel is set to lead a $5 billion round into Thinking Machines Lab$13.50B — Thinking Machines Lab, private, latest valuation $13.50B at a $40 billion valuation before the money arrives, Business Insider reported on November 6, 2026; the company, founded by former OpenAI$1.18T — OpenAI, private, latest valuation $1.18T chief technology officer Mira Murati, declined to comment and Accel did not respond 12.

The mark was set the night after Inkling 2 Small went live on Tinker, the lab's paid service for retraining models on customers' own data, with the weights, the files needed to run a copy, withheld pending outside safety testing 234. The wager is defensible, but it rests on the service rather than the benchmark headline, and the service bills by the token.

The cheap token buys an expensive answer

Inkling 2 Small uses a mixture-of-experts design, which routes each query to a few specialist sub-networks, so 17 billion of its 594 billion parameters work at a time 45. Artificial Analysis, an independent model-benchmarking firm, scores it 31 on its intelligence index, well above the median of 24 for its price tier 6.

Per task, the bill is another matter: $1.18 of compute against $0.20 for the earlier Inkling-Small, because the new model writes about 150,000 output tokens a task where the old one wrote 37,000 46. On Terminal-Bench, a test of agentic coding in a live terminal, it scores 13 percent against Claude Sonnet 5.5's 30 4. Tinker prices the model at $0.30 per million input tokens and $1.00 per million output 46. Because the vendor sells tokens, a longer answer raises the customer's bill and the lab's revenue with it.

Inkling 2 Small's per-task cost sits far above its predecessor and far below the frontier

Long answers, not the token price, set the bill

$0$5$10$15Inkling-Small$0.2MiMo-V2.6-Pro$0.26DeepSeek V4.1 Flash$0.6Inkling 2 Small$1.18GPT-6.1 Sol$1.27GPT-6 Astra$6.24Claude Opus 5.5$10.04
Data
Value
Inkling-Small$0.2
MiMo-V2.6-Pro$0.26
DeepSeek V4.1 Flash$0.6
Inkling 2 Small$1.18
GPT-6.1 Sol$1.27
GPT-6 Astra$6.24
Claude Opus 5.5$10.04
Weighted average cost in US dollars per Artificial Analysis Intelligence Index task at listed API prices, November 2026; the Inkling-Small figure from Artificial Analysis results reported by FomoEra.4,6

What the money is being asked to buy

The reported price is 20 percent below the $50 billion the lab sought, and abandoned, in late 2025, though well above its July 2025 seed; Accel's talks at that valuation floor first surfaced in September, when the round under discussion was $1 billion 27. A September report put annualized revenue above $100 million 27. Against that, the valuation, not the check, is the multiple: roughly 400 times sales 27.

Underneath the price sit an undisclosed Nvidia−4.65% — Nvidia, down 4.65 percent today investment from March, at least a gigawatt of Vera Rubin, the Nvidia platform due to follow its current Blackwell chips, from early 2027, and The Information's report that Nvidia weighed about $2.5 billion of this round 12. Four of the lab's six named cofounders have left 2.

The durable asset is Tinker: the hedge fund Bridgewater used it to fine-tune an open Qwen3 model for financial filtering, beating GPT-5.5's accuracy on six tasks at about a fourteenth of the inference cost 5. Among open models, though, the new Inkling placed second on four of six code benchmarks and first on none 5.

The reported $40 billion sits below the $50 billion Thinking Machines abandoned

Up on the seed, down on the abandoned ask

  • Estimate
$0B$10B$20B$30B$40B$50BSeed, Jul 2025$12BSought, late 2025$50BAccel round, Nov 2026$40B
Data
Value
Seed, Jul 2025$12B
Sought, late 2025 (estimate)$50B
Accel round, Nov 2026 (estimate)$40B
Pre-money company valuations in billions of US dollars. The late-2025 figure is a sought valuation whose talks were abandoned; the November 2026 figure is reported round terms the company has not confirmed.2,7

The download is the first real test

The lab's own page says the model "is closed weight at release", with the full files due "in the coming weeks" under the permissive Apache 2.0 license, once outside safety testing ends 48. The first Inkling shipped open on day one in July 2.

This week also set the public comparison. Anthropic$350B — Anthropic, private, latest valuation $350B, maker of Claude, filed on November 10 for an IPO valuing it at up to $1.4 trillion on roughly $81 billion of run-rate revenue 9. That filing is the test for the private mark: about 400 times reported sales for Thinking Machines, against about 17 times run-rate revenue at the top of Anthropic's range 29. The gap between those multiples is a growth claim, and nothing published yet substantiates it.

Fine-tuning as a business is real, and this round bets it compounds at gigawatt scale. The date to watch is the weights release: once the files are public, anyone with the hardware can run the model and judge it for themselves.

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