BenchLeader

Inkling

Reasoning effort

As of 29 Oct 2026, Inkling by Thinking Machines scores 49.8 on the BenchLeader Index (581 ranked configurations), with its best results in long context (63) and weakest in coding (35). It costs $2.57 per 1M tokens blended ($1.00 in / $4.05 out), and streams about 210 tokens/s (Artificial Analysis). Released 15 Jul 2026; 14 independent results so far.

Key facts (as of 29 Oct 2026)

  • Inkling costs $2.57 per 1M tokens blended ($1.00 in / $4.05 out) (list price, 29 Oct 2026).
  • Inkling streams about 210 tokens/s (Artificial Analysis, 29 Oct 2026).
  • Inkling was released on 15 Jul 2026 (Thinking Machines).

In detail. Inkling is a Thinking Machines open-weights reasoning model, released 15 Jul 2026. Its best configuration (xhigh reasoning effort) ranks #335 of 581 on the BenchLeader Index at 49.8 ±5.9, in the lower half. The ± is the point: 285 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in long context (63) and lowest in coding (35). At $1.76 per million tokens blended it is pricier than most ranked models. Output speed of 206 tokens per second puts it in the fastest quarter, with a first answer in 11.5 s. It has been measured at 5 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 15 Jul 2026.

Blended price
$1.76/M
$1.00 in · $4.05 out
Output speed
206 tok/s
measured by Artificial Analysis
First answer
11 s
first token 0.32 s
Context
66k
Full answer
14 s
median, reasoning included
Cost per run
$1.35
one full Intelligence Index run
Released
15 Jul 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index50
  2. Reasoning47
  3. Coding35
  4. Agents & tools56
  5. Maths45
  6. Knowledge46
  7. Multimodal56
  8. Long context63

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
high––79 tok/s0.32 s$0.0022Coding 38
xhighbest49.8#335206 tok/s11 s$0.0016Agents & tools 56 · Coding 35 · Knowledge 46 · Long context 63 · Maths 45 · Multimodal 56 · Reasoning 47
max––79 tok/s0.32 s$0.0022
thinking––79 tok/s0.32 s$0.0022
not stated47.8#38379 tok/s0.32 s$0.0022Agents & tools 31 · Coding 46 · Composite 28 · Human preference 59 · Knowledge 60 · Maths 54 · Reasoning 53

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Metadata

BenchmarkxhighSourceTrend
AA Openness Indexnot in index38.9#34Artificial Analysis

Reasoning

Benchmarkxhighnot statedSourceTrend
GPQA Diamond88.3%#64–Epoch AI Benchmarking Hub
SimpleBencheffort not stated–50.0%#45SimpleBench
Arena Hard Promptseffort not stated–1462#91Arena (LMArena)
LiveBench 2.0 Reasoningnot in indexeffort not stated–78.3%#25LiveBench
LiveBench 1.0 Reasoningnot in index78.3%#56–LiveBench
GPQA Diamond (AA)not in index87.2%#103–Artificial Analysis
Humanity's Last Exam (AA)not in index31.9%#150–Artificial Analysis
HLE-Diamond (AA)10.6%#93–Artificial Analysis
GPQA Diamond (Vals)not in indexeffort not stated–87.1%#39Vals AI
ARC-AGI-1effort not stated–79.5%#122ARC Prize
ARC-AGI-2effort not stated–36.5%#123ARC Prize
CritPtnot in index5.4%#161–Artificial Analysis
CritPt v2 hard subset (AA)18.0%#73–Artificial Analysis
Chess Puzzlesnot in index21.0%#88–Epoch AI Benchmarking Hub
LMCAnot in index37.6%#117–Epoch AI Benchmarking Hub
DTBenchnot in index87.5%#100–Epoch AI Benchmarking Hub

Coding

Benchmarkhighxhighnot statedSourceTrend
SciCode–47.0%#138–SciCode
WeirdML32.3%#132––WeirdML
FrontierCodeeffort not stated––14.0%#42Cognition
Arena Codingeffort not stated––1494#92Arena (LMArena)
Arena WebDeveffort not stated––1415#90Arena (LMArena)
LiveBench 2.0 Codingnot in indexeffort not stated––64.0%#26LiveBench
LiveBench 1.0 Codingnot in index–71.0%#60–LiveBench
SciCode (AA)not in index–47.0%#144–Artificial Analysis
LiveCodeBencheffort not stated––85.5%#31Vals AI
IOIeffort not stated––14.9%#44Vals AI
SWE-bench (Vals)not in indexeffort not stated––77.6%#34Vals AI
Code Migrationnot in indexeffort not stated––11.8%#62Vals AI
Code Migration v1.1not in indexeffort not stated––8.8%#28Vals AI
ProgramBenchnot in indexeffort not stated––0.0%#32Vals AI
Vibe Code Bench 1-100not in indexeffort not stated––7.3%#25Vals AI
Vibe Code Bench v1.1not in indexeffort not stated––19.2%#91Vals AI
ALE-Benchnot in indexeffort not stated––946#64Epoch AI Benchmarking Hub
FrontierSWEnot in index–4.1%#20–Epoch AI Benchmarking Hub
Terminal-Bench 4.0 (AA)not in index–1.0%#137–Artificial Analysis
Terminal-Bench 2.1 (AA)not in index–55.1%#110–Artificial Analysis
FrontierCode 1.1 (AA)not in index–15.8%#70–Artificial Analysis
FrontierCode 2.0 (AA)–3.9%#74–Artificial Analysis

Agents & tools

Benchmarkxhighmaxnot statedSourceTrend
APEX-Agentseffort not stated––33.8%#52Mercor
Arena Agenteffort not stated––-15.8#48Arena (LMArena)
LiveBench Long Agenticnot in indexeffort not stated––8.5%#29LiveBench
LiveBench Browsernot in indexeffort not stated––12.0%#29LiveBench
LiveBench Agentic Codingnot in index49.4%#45––LiveBench
Terminal-Bench 2.1 (Vals)effort not stated––47.6%#63Vals AI
MCP Atlas76.0%#17––Scale AI SEAL
τ³-bench Bankingnot in index–25.0%#18–τ²-bench
GDPval-AA v2.1not in index1081#89––Artificial Analysis
τ³-Banking (AA)29.1%#71––Artificial Analysis
Analyst Agent (AA)not in index23.8%#35––Artificial Analysis
CyberBenchnot in indexeffort not stated––66.8%#30Vals AI
Finance Agent v2not in indexeffort not stated––46.6%#55Vals AI
Finance Agent v2.1not in indexeffort not stated––49.9%#33Vals AI
Harvey's Legal Agent Benchmark v1.1not in indexeffort not stated––3.8%#29Vals AI
Harvey's Legal Agent Benchmark v1not in indexeffort not stated––2.1%#48Vals AI
Legal Research Benchnot in indexeffort not stated––28.4%#58Vals AI
SkillsBenchnot in indexeffort not stated––26.1%#33Vals AI
SREBenchnot in indexeffort not stated––0.0%#32Vals AI
Tax Agent Benchnot in indexeffort not stated––15.3%#57Vals AI
Terminal-Bench 4.0 (Vals)not in indexeffort not stated––0.5%#54Vals AI
AutomationBenchnot in index5.0%#175––Artificial Analysis
GDP.pdf (AA)not in index12.8%#118––Artificial Analysis
Harvey LAB-AA v1.1not in index0.0%#23––Harvey
EnterpriseOps-Gymnot in index38.0%#33––Artificial Analysis
AA-Briefcase v1.1not in index833#117––Artificial Analysis
Terminal-Bench-Science 0.1 (AA)not in index0.0%#90––Artificial Analysis

Maths

Benchmarkxhighnot statedSourceTrend
FrontierMath Tiers 1–333.3%#72–Epoch AI Benchmarking Hub
FrontierMath Tier 44.9%#67–Epoch AI Benchmarking Hub
OTIS Mock AIME88.9%#77–Epoch AI Benchmarking Hub
ProofBencheffort not stated–0.0%#80Vals AI
LiveBench Mathematicsnot in index88.4%#43–LiveBench
Arena Mathseffort not stated–1480#40Arena (LMArena)

Knowledge

Benchmarkxhighnot statedSourceTrend
SimpleQA Verified40.3%#50–Epoch AI Benchmarking Hub
LiveBench 2.0 Data Analysisnot in indexeffort not stated–72.8%#20LiveBench
LiveBench Researchnot in indexeffort not stated–59.9%#27LiveBench
LiveBench 1.0 Data Analysisnot in index72.8%#44–LiveBench
AA-Omniscience v1.1-1.5#62–Artificial Analysis
MMLU-Proeffort not stated–86.3%#42Vals AI
LegalBencheffort not stated–83.0%#63Vals AI
CorpFineffort not stated–68.6%#7Vals AI
TaxEvaleffort not stated–75.3%#19Vals AI
Excel Modeling Benchmarknot in indexeffort not stated–38.4%#60Vals AI
Excel Modeling Benchmark v1.1not in indexeffort not stated–41.0%#35Vals AI
MedCodenot in indexeffort not stated–41.2%#56Vals AI
MedScribenot in indexeffort not stated–85.4%#28Vals AI
Public Benefits Bench v1.1not in indexeffort not stated–58.5%#36Vals AI
AA-Omniscience v1.1: accuracynot in index39.3%#54–Artificial Analysis
AA-Omniscience v1.1: non-hallucinationnot in index32.8%#72–Artificial Analysis

Instruction following

Benchmarkxhighnot statedSourceTrend
LiveBench Languagenot in index73.5%#56–LiveBench
LiveBench Instruction Followingnot in index70.1%#30–LiveBench
Arena Instruction Followingnot in indexeffort not stated–1426#104Arena (LMArena)

Human preference

Benchmarknot statedSourceTrend
Arena Text1442#91Arena (LMArena)
EQ-Bench 41212#16EQ-Bench
Arena Creative Writingnot in index1386#131Arena (LMArena)
Arena Multi-turnnot in index1444#99Arena (LMArena)
Arena Longer Queriesnot in index1441#108Arena (LMArena)

Multimodal

Benchmarkxhighthinkingnot statedSourceTrend
LiveBench Designnot in indexeffort not stated––58.3%#30LiveBench
MMMU-Pro73.5%#129––Artificial Analysis
MMMU-Pro (Vals)not in indexeffort not stated––78.5%#50Vals AI
MortgageTaxnot in indexeffort not stated––64.0%#48Vals AI
AudioMCnot in index–56.6%#4–Scale AI SEAL
AudioMC (text output)not in index–56.6%#4–Scale AI SEAL
Code2Video-AAnot in index467#26––Artificial Analysis
AA-3Dnot in index583#22––Artificial Analysis

Long context

BenchmarkxhighSourceTrend
AA-LCR v1.177.3%#139Artificial Analysis
MLCRnot in index6.1%#142Artificial Analysis

Composite

Benchmarkxhighnot statedSourceTrend
Epoch Capabilities Indexnot in indexeffort not stated–148.4#69Epoch AI Benchmarking Hub
LiveBench 2.0effort not stated–47.0%#28LiveBench
LiveBench 1.0not in index71.9%#52–LiveBench
AA Intelligence Index v5.0not in index12.5#73–Artificial Analysis
AA Intelligence Index v4.3.2not in index25.0#174–Artificial Analysis
AA Progress Index v1not in index281.4#169–Artificial Analysis
Vals Indexnot in indexeffort not stated–29.0#29Vals AI
Vals Finance Indexnot in indexeffort not stated–38.3%#33Vals AI
Vals Multimodal Indexnot in indexeffort not stated–49.4%#26Vals AI
Vals Router Indexnot in indexeffort not stated–29.0%#21Vals AI

Safety & honesty

BenchmarkxhighSourceTrend
FORTRESSnot in index25.0%#34Scale AI SEAL

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Together123 tok/s0.18 s$1.00$4.05524k–

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.374 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0016$0.001412.9 s
Summarize a 30-page report12,000 / 600$0.014$0.008814.4 s
Code edit6,000 / 1,500$0.012$0.009318.8 s
Agentic coding session60,000 / 4,000$0.076$0.04830.9 s
Structured extraction2,000 / 200$0.0028$0.001912.5 s

More from Thinking Machines

New this month

See also

Questions people ask

What are Inkling's benchmark scores?
As of 29 Oct 2026, Inkling (xhigh effort) scores 49.8 ±5.9 on the BenchLeader Index, strongest in long context (63) and weakest in coding (35). That rests on 14 independent benchmark results, and every score on this page links to its publisher.
How does Inkling rank?
Inkling (xhigh effort) is #335 of 581 ranked configurations on 29 Oct 2026. 285 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 69.1.
How much does Inkling cost per 1M tokens?
As of 29 Oct 2026, Inkling costs $1.00 per 1M input tokens and $4.05 per 1M output tokens, $1.76 blended (three input tokens per output token).
When was Inkling released?
Thinking Machines released Inkling on 15 Jul 2026. BenchLeader has results for it at 5 reasoning-effort settings.

Data as of 29 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Inkling: benchmarks, pricing, speed and rank”, data as of 29 Oct 2026, https://www.benchleader.com/models/inkling.