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Inkling

Thinking Machines

B · open · Other

Ling-3.0 Flash Fin

InclusionAI

2:0

overall capability wins (0 ties across 2 scored). Inkling leads overall.

  • Specs2:0

Verdict

Inkling offers ~4.0x larger context (1.0M vs 262K).

Cost for 1M in + 250K out

Illustrative chat workload at primary-provider list prices.

Inkling
$2.01
Ling-3.0 Flash Fin
-

Price per 1M tokens

Full comparison

Organization

Thinking Machines

InclusionAI

Family

Other

Other

License

Apache 2.0

MIT

Open weights

Yes

Yes

Release

Jul 15, 2026

Sep 3, 2026

Knowledge cutoff

-

-

API / provider

OpenRouter / Tinker (ref.)

No primary API price listed

Modalities

text, image, audio → text

text → text

Specs

Context window

1.0M

262K

A +786K

Max output

131K

-

—

Parameters

975B (41B act.)

124B (5.1B act.)

A +851

Pricing

Input $/1M

$1

—

—

Output $/1M

$4.05

—

—

Blended $/1M (3∶1)

$1.76

-

—

Speed

tok/s

55

-

—

TTFT (s)

0.55

-

—

Reasoning

MMLU-Pro

—

—

—

GPQA Diamond

87.2

—

—

Humanity's Last Exam

31.9

—

—

AIME 2025

—

—

—

MATH-500

—

—

—

Humanity's Last Exam (with tools)

—

—

—

AA-Omniscience Accuracy

41.6

—

—

AA-LCR v1.1

77.3

—

—

CritPt

5.4

—

—

MMMU-Pro

73.5

—

—

IFBench

—

—

—

Chartography

—

—

—

Chartography (With Tools)

—

—

—

Coding

SWE-bench Verified

77.6

—

—

SWE-bench Pro

54.3

—

—

SWE-bench Multilingual

—

—

—

LiveCodeBench

—

—

—

Terminal-Bench 2.1

55.1

—

—

Aider Polyglot

—

—

—

Terminal-Bench 3

—

—

—

BigCodeBench

—

—

—

SciCode

47.0

—

—

CursorBench

—

—

—

SWE-Rebench

—

—

—

NL2Repo-Bench

—

—

—

DeepSWE

—

—

—

WebDev Arena

1,410

—

—

Terminal-Bench 4.0

—

—

—

CursorBench 4.0

—

—

—

FrontierCode v1.1 (Main)

—

—

—

Arena

LMArena Elo

1,440

—

—

Inkling

Context
1.0M / 131K out
Parameters
975B (41B act.)
Price
$1 / $4.05
Speed
55 tok/s · 0.55s TTFT
Modalities
text, image, audio → text
License
Apache 2.0

Thinking Machines' first open-weights MoE (975B / 41B active) — natively multimodal with variable thinking effort and 1M context; Apache 2.0 weights on Hugging Face.

Ling-3.0 Flash Fin

Context
262K
Parameters
124B (5.1B act.)
Price
—
Speed
—
Modalities
text → text
License
MIT

InclusionAI / Ant Group's finance-specialized fine-tune of Ling-3.0 Flash (124B total / 5.1B active MoE, MIT, 256K context), built with financial institutions for source-grounded financial research, multi-document analysis, valuation modeling, and spreadsheet workflows. Ant Group's model card reports evaluation on FinFIRST, FinSearchComp Verified, FinCRAFT, Finance Agent, APEX-Agents, SpreadsheetBench, and τ³-Banking without publishing numeric scores, so no benchmark values are recorded here.

Benchmark charts

Winner bars are emphasized. Per-benchmark deltas sit above each chart.

These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.

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