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Thinkingmachines: Inkling

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

Source-linked ling Open weights Apache-2.0 Released 2026-07-15
API record Report
InputT
OutputT
Input price$1.87/M
Output price$4.68/M
Context1.04858M
Max output1.04858M
Providers26
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Inkling
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Nvidia thinkingmachines/inkling 1.04858M 16.384K — — — ReasoningTools Docs ↗
Eden AI deepinfra/thinkingmachines/Inkling 524.288K 1.04858M $0.95 $4.05 $0.16 ReasoningToolsJSON Docs ↗
Deep Infra thinkingmachines/Inkling 524.288K 1.04858M $0.95 $4.05 $0.16 ReasoningTools Docs ↗
Kilo Gateway thinkingmachines/inkling 1.04858M 32.768K $0.95 $4.05 $0.16 ReasoningTools Docs ↗
NanoGPT thinkingmachines/inkling 1.048M 32.768K $1 $4.05 $0.17 ToolsJSON Docs ↗
Hugging Face thinkingmachines/Inkling 1.04858M 1.04858M $1 $4.05 — ReasoningToolsJSON Docs ↗
Eden AI fireworks_ai/accounts/fireworks/models/inkling 1.04858M 1.04858M $1 $4.05 $0.17 ReasoningToolsJSON Docs ↗
Vercel AI Gateway thinkingmachines/inkling 256K 256K $1 $4.05 $0.17 ReasoningTools Docs ↗
Eden AI together_ai/thinkingmachines/Inkling 524.288K 1.04858M $1 $4.05 $0.17 ReasoningToolsJSON Docs ↗
Neon inkling 1.04858M 65.536K $1 $4.05 $0.17 ReasoningTools Docs ↗
OpenRouter thinkingmachines/inkling 1.04858M 32.768K $1 $4.05 $0.17 ReasoningTools Docs ↗
Together AI thinkingmachines/Inkling 524.288K 131.072K $1 $4.05 $0.17 ReasoningToolsJSON Docs ↗
Merge Gateway thinkingmachines/inkling 1.048M 32K $1 $4.05 $0.17 ReasoningToolsJSON Docs ↗
Baseten thinkingmachines/inkling 1.04858M 32.768K $1 $4.05 — ReasoningToolsJSON Docs ↗
Fireworks AI accounts/fireworks/models/inkling 1.04858M 1.04858M $1 $4.05 $0.17 ReasoningTools Docs ↗
Eden AI databricks/databricks-inkling 1M 1.04858M $1 $4.05 $0.17 ReasoningTools Docs ↗
Charm Hyper inkling 1.04858M 32.768K $1.089 $4.41 $0.185 ReasoningTools Docs ↗
Modal thinkingmachines/Inkling-NVFP4 1.04858M 262.144K $1.2 $5 $0.27 ReasoningTools Docs ↗
Venice AI inkling 524.288K 65.536K $1.25 $5.062 $0.212 ReasoningToolsJSON Docs ↗
Thinking Machines thinkingmachines/Inkling 65.536K 65.536K $1.87 $4.68 $0.374 ReasoningTools Docs ↗
Impossibl thinkingmachines/inkling 65.536K 65.536K $1.87 $4.68 $0.374 ReasoningTools Docs ↗
LLMTR thinkingmachines/inkling 262.144K 262.144K $1.87 $4.68 — ReasoningTools Docs ↗
Requesty inkling 65.536K 32.768K $1.87 $4.68 $0.374 ReasoningTools Docs ↗
Abacus thinkingmachines/Inkling 262.144K 131.072K $3.74 $9.36 $0.748 ReasoningTools Docs ↗
Thinking Machines inkling 256K 256K $3.74 $9.36 $0.748 ReasoningTools Docs ↗
Thinking Machines thinkingmachines/Inkling:peft:262144 262.144K 262.144K $3.74 $9.36 $0.748 ReasoningTools Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.95/M

Across 25 priced providers

Median input $1/M

Midpoint of listed rates

Highest input $3.74/M

3.9× the lowest listed rate

Output range $4.05 – $9.36

Per million output tokens

Eden AI $0.95/M
Deep Infra $0.95/M
Kilo Gateway $0.95/M
NanoGPT $1/M
Hugging Face $1/M
Eden AI $1/M
Vercel AI Gateway $1/M
Eden AI $1/M
Neon $1/M
OpenRouter $1/M
Together AI $1/M
Merge Gateway $1/M
Baseten $1/M
Fireworks AI $1/M
Eden AI $1/M
Charm Hyper $1.089/M
Modal $1.2/M
Venice AI $1.25/M
Thinking Machines $1.87/M
Impossibl $1.87/M
LLMTR $1.87/M
Requesty $1.87/M
Abacus $3.74/M
Thinking Machines $3.74/M
Thinking Machines $3.74/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

3 providers list the identical $0.95 input rate, so price alone will not separate them — compare context limits, max output, and capabilities above.

Context limits also differ by provider, from 65.536K to 1.04858M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

× Reasoning No
✓ Tool calling Yes
✓ Structured output Yes
✓ Attachments Yes
✓ Vision input Yes
✓ Open weights Yes
Model family
ling
Knowledge cutoff
Not documented
License
Apache-2.0
Release date
2026-07-15
Model ID
thinkingmachines/inkling

Weights: Hugging Face ↗

Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Benchmark profile
Coding IndexCoding Index Agentic IndexAgentic Index IntelligenceIntelligence Index Design Arena: w…Design Arena: website Design Arena: c…Design Arena: codecategories Design Arena: g…Design Arena: gamedev Design Arena: d…Design Arena: dataviz Design Arena: u…Design Arena: uicomponent This model — Coding Index: 52.1 index (56.3th percentile) This model — Agentic Index: 24.3 index (58.3th percentile) This model — Intelligence Index: 25.5 index (49.2th percentile) This model — Design Arena: website: 1226 elo (57.4th percentile) This model — Design Arena: codecategories: 1214 elo (54.8th percentile) This model — Design Arena: gamedev: 1176 elo (43.7th percentile) This model — Design Arena: dataviz: 1193 elo (45.8th percentile) This model — Design Arena: uicomponent: 1209 elo (52.5th percentile)

Each axis is this model's percentile among the 8 benchmarks it has published results for, measured against every other model with a score on that same benchmark. Percentiles are used because benchmarks do not share a scale — a 60 on one is not a 60 on another. Hover any point for the raw score.

Coding Index index Source ↗
Coding Index #88 of 205
Agentic Index index Source ↗
Agentic Index #80 of 193
Intelligence Index index Source ↗
Intelligence Index #97 of 192
Design Arena: website elo Source ↗
Design Arena: website #74 of 175
Design Arena: codecategories elo Source ↗
Design Arena: codecategories #75 of 167
Design Arena: gamedev elo Source ↗
Design Arena: gamedev #93 of 166
Design Arena: dataviz elo Source ↗
Design Arena: dataviz #89 of 165
Design Arena: uicomponent elo Source ↗
Design Arena: uicomponent #76 of 161
Design Arena: 3d elo Source ↗
Design Arena: 3d #80 of 157
Design Arena: svg elo Source ↗
Design Arena: svg #82 of 116
Design Arena: asciiart elo Source ↗
Design Arena: asciiart #84 of 99

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Coding Index, the benchmark with the widest published coverage that this model appears in.

0 43 86 $0.01 $0.1 $1 $10 OpenAI: GPT-5.1 (batch) — $0.625/M, score 49.4 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 43.9 OpenAI: GPT-5 (batch) — $0.625/M, score 37.8 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 20.2 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 9.7 Gemini 3.5 Flash Lite — $0.3/M, score 49.3 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 20.1 OpenAI: o3 Mini High (batch) — $0.55/M, score 16.3 Qwen: Qwen3.8 Max (0902) — $2/M, score 71.8 Gemini 3.5 Flash — $1.5/M, score 70.1 Z.ai: GLM 5.3 Flash (batch) — $0.075/M, score 71.5 Gemma 3 12B IT — $0.05/M, score 5.8 GPT-4.1 mini — $0.4/M, score 20.2 DeepSeek V4 Pro — $0.435/M, score 59.4 Claude Sonnet 5 — $2/M, score 71.5 Mistral: Ministral 3 8B 2512 — $0.15/M, score 9.7 OpenAI: o1 (batch) — $7.5/M, score 39.7 Z.ai: GLM 5.1 — $0.966/M, score 55.8 Gemini 3.7 Flash — $0.75/M, score 76.1 LongCat-2.0 — $0.3/M, score 45.3 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 74.3 Mistral: Mistral Large 3 2512 — $0.5/M, score 20.1 DeepSeek V3.2 — $0.18/M, score 44.2 OpenAI: GPT-5.5 (batch) — $2.5/M, score 74.9 Anthropic: Claude Opus 4.7 — $5/M, score 73.6 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 70.1 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 56.1 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 33.3 Inception: Mercury 2 — $0.25/M, score 31.1 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 11.1 Gemini 3.6 Flash — $0.75/M, score 69.2 Anthropic: Claude Sonnet 4.5 — $3/M, score 52.1 OpenAI: GPT-4o-mini (batch) — $0.075/M, score 11.4 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 28.7 GPT-5.4 mini — $0.75/M, score 56.1 Gemma 4 26B A4B IT — $0.042/M, score 39.3 Claude Fable 5 — $10/M, score 76.5 Mistral: Mistral Small 4 (batch) — $0.075/M, score 26.6 Gemini 2.5 Pro — $1.25/M, score 33.3 Z.ai: GLM 5.3 Flash — $0.15/M, score 71.5 OpenAI: GPT-3.5 Turbo (batch) — $0.25/M, score 10.7 MiniMax: MiniMax M3 — $0.3/M, score 58.6 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 68.8 Thinking Machines: Inkling Small (batch) — $0.5/M, score 52.9 Anthropic: Claude Fable 5.1 — $10/M, score 81.6 Google: Gemma 4 31B (batch) — $0.39/M, score 43.4 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 71.9 Mistral: Devstral 2 2512 — $0.4/M, score 31.3 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 60.8 DeepSeek-R1 — $0.7/M, score 24.6 Inkling — $1.87/M, score 52.1 OpenAI: gpt-oss-20b (batch) — $0.05/M, score 20.7 Muse Spark 1.1 — $1.25/M, score 71.3 MiMo-V2.5 — $0.14/M, score 56.8 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 49.3 Kimi K2 Thinking — $0.4/M, score 21.0 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 46.9 Qwen: Qwen3.8 Max (0803) — $2/M, score 68.9 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 20.5 GPT-5.1 — $1.25/M, score 49.4 Qwen: Qwen3.8 27B — $0.42/M, score 68.1 GPT-5.4 — $2.5/M, score 71.1 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 81.6 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 76.3 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 76.1 inclusionAI: Ling 3.0 Flash VL — $0.06/M, score 57.0 Z.ai: GLM 5.3 (batch) — $0.7/M, score 74.8 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 69.1 MoonshotAI: Kimi K3 (batch) — $3/M, score 76.2 Inkling Small — $0.45/M, score 52.9 GPT-5.5 — $5/M, score 74.9 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 52.1 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 71.5 Anthropic: Claude Fable 5 (batch) — $5/M, score 76.5 Nemotron 3 Super 120B A12B — $0.2/M, score 37.7 IBM: Granite 4.2 8B — $0.06/M, score 22.4 Thinking Machines: Inkling (batch) — $1/M, score 52.1 GPT OSS 120B — $0.03/M, score 30.4 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 30.4 GPT-3.5-turbo — $0.5/M, score 10.7 GPT-4 — $30/M, score 13.1 SpaceXAI: Grok 4.6 — $2/M, score 76.8 Claude Opus 5 — $5/M, score 78.0 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 43.5 GPT-5 Mini — $0.25/M, score 15.6 Gemma 3 4B IT — $0.04/M, score 2.7 Claude Opus 5 (batch) — $2.5/M, score 78.0 Gemini 3.1 Flash Lite Preview — $0.25/M, score 34.7 Gemma 3 27B IT — $0.08/M, score 10.1 Gemma 4 31B IT — $0.09/M, score 43.4 OpenAI: GPT-6 Astra (batch) — $5/M, score 76.9 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 76.7 OpenAI: GPT-5.4 (batch) — $1.25/M, score 71.1 DeepSeek V4 Flash — $0.15/M, score 52.0 GPT-5.6 Luna — $0.2/M, score 71.4 Kimi K2.7 Code — $0.95/M, score 60.8 DeepSeek V4 Pro 0813 — $0.442/M, score 68.8 Z.ai: GLM 5.2 (batch) — $0.7/M, score 68.8 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 69.2 Nemotron 3 Nano 30B A3B — $0.05/M, score 14.4 Z.ai: GLM 5.3 — $1.4/M, score 74.8 Anthropic: Claude Opus 4.8 — $5/M, score 74.3 SpaceXAI: Grok 4.3 — $1.25/M, score 42.2 GPT-5.6 Terra — $2/M, score 76.7 MiniMax: MiniMax M3 (batch) — $0.3/M, score 58.6 Gemini 3.8 Flash — $0.75/M, score 76.3 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 49.3 MiniMax: MiniMax M2.7 — $0.3/M, score 52.6 SpaceXAI: Grok 4.5 — $2/M, score 72.4 Mistral: Mistral Medium 3.1 — $0.4/M, score 20.5 Kimi K2.6 — $0.95/M, score 61.8 Kimi K3 — $3/M, score 76.2 Solar Pro 4 — $0.3/M, score 52.7 Gemini 3.1 Pro Preview — $2/M, score 68.8 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 73.6 MiMo-V2.5-Pro — $0.435/M, score 60.2 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 68.8 Anthropic: Claude Sonnet 4.6 — $3/M, score 63.0 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 63.0 DeepSeek V4 Flash 0731 — $0.05/M, score 69.1 GPT-5 — $1.25/M, score 37.8 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 15.6 GPT-6 Astra — $10/M, score 76.9 inclusionAI: Ling 3.0 Flash — $0.021/M, score 50.6 Qwen: Qwen3.7 Plus — $0.32/M, score 55.9 SpaceXAI: Grok 4.3 (batch) — $1/M, score 42.2 GPT-4 Turbo — $10/M, score 21.5 Nemotron 3 Ultra 550B A55B — $0.5/M, score 49.3 Anthropic: Claude Sonnet 4 — $3/M, score 37.6 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 71.4 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 56.1 Qwen: Qwen3.8 2.4T A95B — $2/M, score 71.9 OpenAI: GPT-5.6 Sol (batch) — $1/M, score 77.4 Qwen: Qwen3.6 Plus — $0.325/M, score 54.5 Z.ai: GLM 4.6 — $0.43/M, score 45.8 GPT-4o (2024-05-13) — $5/M, score 24.2 Muse Spark 1.2 — $1.25/M, score 72.2 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 17.4 GPT-5.6 Sol — $4/M, score 77.4 OpenAI: GPT-4 Turbo (batch) — $5/M, score 21.5 GPT-5.4 nano — $0.2/M, score 56.1 Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 26.8 Hy3 preview — $0.066/M, score 58.8 GPT-4.1 nano — $0.1/M, score 11.1 GPT OSS 20B — $0.02/M, score 20.7 GPT-4o mini — $0.15/M, score 11.4 o1 — $15/M, score 39.7 Kimi K2.5 — $0.3/M, score 46.8 Trinity Large Thinking — $0.25/M, score 25.8 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 12.1 Z.ai: GLM 5.2 — $0.966/M, score 68.8 Qwen: Qwen3.7 Max — $1.475/M, score 66.0 SpaceXAI: Grok Build 0.1 — $1/M, score 51.5 Qwen: Qwen3.6 35B A3B — $0.1/M, score 41.9 Qwen: Qwen3.6 27B — $0.3/M, score 53.7 inclusionAI: Ling-2.6-flash — $0.01/M, score 25.3 Mistral: Mistral Small 4 — $0.15/M, score 26.6 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 59.5 Qwen: Qwen3.5-9B — $0.1/M, score 28.7 Qwen: Qwen3.5-35B-A3B — $0.312/M, score 37.0 Qwen: Qwen3.5-122B-A10B — $0.26/M, score 45.7 Upstage: Solar Pro 3 — $0.15/M, score 16.2 Z.ai: GLM 4.7 — $0.4/M, score 45.3 Amazon: Nova 2 Lite — $0.3/M, score 23.0 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Google: Gemma 3n 4B — $0.06/M, score 3.2 Meta: Llama 4 Maverick — $0.2/M, score 16.3 OpenAI: o3 Mini High — $1.1/M, score 16.3 Meta: Llama 3.3 70B Instruct — $0.1/M, score 11.9 Meta: Llama 3.1 8B Instruct — $0.05/M, score 5.4 Nex AGI: Nex-N2-Pro — $0.25/M, score 59.1 Mistral: Mistral Medium 3.5 — $1.5/M, score 46.9 inclusionAI: Ring-2.6-1T — $0.075/M, score 42.8 IBM: Granite 4.1 8B — $0.05/M, score 9.5 Qwen: Qwen3.5 397B A17B — $0.55/M, score 48.2 Qwen: Qwen3 Coder Next — $0.12/M, score 36.2 Mistral: Ministral 3 14B 2512 — $0.2/M, score 14.4 Anthropic: Claude Haiku 4.5 — $1/M, score 43.9 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 22.1 Qwen: Qwen3 8B — $0.117/M, score 9.0 Qwen: Qwen3 14B — $0.227/M, score 13.8 Qwen: Qwen3 32B — $0.08/M, score 15.3 Meta: Llama 4 Scout — $0.1/M, score 8.2 DeepSeek: DeepSeek V3 0324 — $0.25/M, score 21.2 Cohere: Command A — $2.5/M, score 27.8 Step 3.7 Flash — $0.185/M, score 39.6 Inkling Input price per million tokens (log scale) Index

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Max Output Tokens32768 → 1048576
Price Completion4.05 → 4.68
Price Prompt1.0 → 1.87
Max Output Tokens1048576 → 32768
Price Completion4.68 → 4.05
Price Prompt1.87 → 1.0
Max Output Tokens32768 → 1048576
Price Completion4.05 → 4.68
Price Prompt1.0 → 1.87
Max Output Tokens1048576 → 32768
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Last verified
Sep 11, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗Nvidia documentationprovider documentation ↗Eden AI documentationprovider documentation ↗Deep Infra documentationprovider documentation ↗Kilo Gateway documentationprovider documentation ↗NanoGPT documentationprovider documentation ↗Hugging Face documentationprovider documentation ↗Vercel AI Gateway documentationprovider documentation ↗Neon documentationprovider documentation ↗OpenRouter documentationprovider documentation ↗Together AI documentationprovider documentation ↗Merge Gateway documentationprovider documentation ↗
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/thinkingmachines/inkling
curl
curl "https://model.kyssta.lol/api/v1/models/thinkingmachines/inkling"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Inkling?

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio. It is published by Thinkingmachines and catalogued here from Models.dev.

How much does Inkling cost?

Listed input pricing starts at $0.95 per million tokens from Eden AI, rising to $3.74 across 25 listed providers.

What is the context length of Inkling?

Inkling accepts up to 1.04858M tokens of context and returns up to 1.04858M output tokens.

Does Inkling support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, and image input.

Which providers serve Inkling?

21 providers list this model: Nvidia, Eden AI, Deep Infra, Kilo Gateway, NanoGPT, Hugging Face and 15 more.

Are the weights for Inkling open?

Yes. The weights are published and downloadable from Hugging Face under the Apache-2.0 license.

When was Inkling released?

The catalog records a release date of 2026-07-15, last verified Sep 11, 2026.

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Thinking Machines: Inkling Small (batch)

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Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...

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Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning, coding, agentic and tool-use systems,...

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