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Inkling Small

Thinking MachinesReleased Jul 30, 2026Open weights · Apache 2.0inkling-small

Compare with other models
Intelligence (Epoch)
150 · 39th of 109
Reasoning
yes, with effort levels
Context
1M tokens
Max output
256k tokens
Input
text, image, audio
API features
tools, seed

Read Nov 3, 11:57 UTC from the hosts' published offers and OpenRouter, spec sheet from Thinking Machines

Free right now

  • Free OpenRouter, served by Thinking Machines · until Nov 4 · 20 req/min, 50 req/day, 1,000 req/day with $10 of credits

Checked Nov 3 · every free model on Deals

Lowest input, per M$0.45at DeepInfra
Cheapest cache, per M$0.10at DeepInfra
Fastest116 tok/sat DeepInfra, on OpenRouter
Providers2serve this version

The cheapest host, DeepInfra, serves fp8 weights (maker: bf16) and serves a 512K context (maker: 1M). Weights and context per host

Sorted by cache price
ProviderInputOutputCache ↑tok/sFirst tokenUptime 24hChecked
DeepInfrafp8 (bf16) · 512K ctx (1M) · 256K out$0.45$1.20$0.101160.43 s100%Nov 3
BaseTenprecision not stated · 1M ctx$0.50$1.20$0.10———Sep 25

2 of 2 providers · prices per million tokens, read Nov 3, 11:57 UTC · speed: OpenRouter, median of the last 30 min, read Nov 3, 11:57 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
DeepInfrafp8512K256Kyesnoyes
BaseTennot stated by the host1Mnot stated by the host———

Weights, context, max output: from the host where its terms allow, else as declared to OpenRouter (hover for source and date) · features as declared to OpenRouter, not verified by us

Inkling Small spec sheet, field by field, with sources

Inkling Small spec sheetmaker-declared

What Thinking Machines declares, from its own weights and docs. What each host serves is in the offers: both can be true.

Context window
not published by the maker
Parameters
265,956,439,090≈ 266.0B
Active experts
6 of 256 active per token
Weight precision
bfloat16
License
Apache 2.0 — open weights, permissivecurated · read 2026-09-16Scope: the license of the published weights only — not the maker's acceptable-use policy, nor the terms of the host you call.
Knowledge cutoff
to verify
Modalities
text · image · audio
Max output (official)
not published by the makermaker's docs · read 2026-10-23
Release date
to verify≈ July 30, 2026 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
InklingForConditionalGeneration
Layers
42
Vocabulary
201,024 tokens
Weights first published
July 27, 2026
Weights last updated
July 31, 2026

thinkingmachines/Inkling-Small · config.json @ 8cc5877 · read 2026-10-08 · 5 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
DeepInfra$1.05$4.20$3.00
BaseTen$1.10$4.60$3.20

What each host bills for 1,000 requests of a representative job

Your own workload

    No longer offered

    These hosts no longer appear where their price is read, so they are left out of every comparison on this page. The last price read is kept for the record.

    No longer offered (1)
    • Together AI · last price $0.50 in / $1.20 out, read Sep 22 · withdrawn by the host

    Intelligence for the price

    9 models score higher for the same price or less; it ranks 10 of the 48 models at its price or below.

    100120140160180$0.10$1$10$100Inkling Small · 150

    Epoch Capabilities Index against the lowest input + output price per M, log scale · prices Nov 3. Score: Epoch AI, CC BY 4.0, 150 with an interval of 148 to 152.

    Against its rivals

    The best of its price range and the top score

    Same level for 6.3× less: GLM-5.3-Flash at Pareto Inference, $0.26 per M input + output · their Epoch intervals overlap (153 against 150).

    Bars: Epoch Capabilities Index, drawn from 100 · price: lowest input + output per M.

    Run it yourself

    open weights, Apache 2.0 · fits 2 of the 14 workstations in our guideSelf-host guide ›
    Parameters
    276B
    12B active per token (MoE)
    Memory needed
    166 GB
    in INT4 · 331 GB in INT8
    Smallest cloud setup
    4× H100
    320 GB · $10.56/h, about $7,709 a month
    Worth it above
    5B tokens
    a month, against the cheapest API at $1.65 per M
    QuantizationMemorySmallest cloud GPUQuality
    INT4 (Q4)166 GB4× H100 · $10.56/hsmallest footprint, minor quality loss
    INT8 (Q8)331 GB8× H100 · $21.12/hnear-lossless
    FP16 (full)662 GBmulti-node, over 640 GBreference quality

    At home: in INT4 it fits the Mac Studio M5 Ultra (256 GB unified) — about $12,299 once, or $0.468/h over 3 years, electricity aside, at 1200 GB/s of memory bandwidth — that, not FLOPS, sets tokens per second; it pays for itself after about 7B tokens against the cheapest API.

    Memory ≈ parameters × bytes × 1.2 · cloud: on-demand, 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

    Other Thinking Machines models · all its models, hosts and history ›