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Gemini 3.8 Flash vs Inkling

Updated October 21, 2026. 99 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Gemini 3.8 Flash Replace Inkling
Gemini 3.8 FlashGoogle
Coding
70.5
Overall
40.9
Output $/M
$4.125
94
T InklingThinking Machines
Coding
49.7
Overall
25.0
Output $/M
$4.05
5
vs boards won of 99 shared

Decision reading

Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 49.7 for Inkling.

Pick Inkling when output tokens cost 1.0x less, or when a solved task costs $0.76 against $2.74.

Model AGemini 3.8 FlashGoogle70.5/1002 independent benchmarks$2.74 per solved taskModel BInklingThinking Machines49.7/1002 independent benchmarks$0.76 per solved task
Shared results
99
Gemini 3.8 Flash only
27
Inkling only
3
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 3.8 Flash 70.5 from 2 benchmarks, Inkling 49.7 from 2 benchmarks.
Widest category
Coding, 22.2 points apart on average over 23 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Gemini 3.8 Flash 78.7% against Inkling 19.2%, 59.4 points apart on a 0 to 100 scale.
Output price
Gemini 3.8 Flash $4.125 against Inkling $4.05 per million output tokens, 1.0x apart.
Context window
Gemini 3.8 Flash takes 1.05M tokens, Inkling 524K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 3.8 FlashBarsInklingTies
Coding221
Intelligence20
Agentic work120
Reasoning120
Math60
Knowledge91
Web design90
General223
All shared boards945
CodingLike-for-likeFour of these boards feed the Vibe Coding Index221
Coding benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
LiveBench coding82.2%64.0%Gemini 3.8 Flash
LMArena WebDev15851414Gemini 3.8 Flash
AA Coding Index76.352.1Gemini 3.8 Flash
LiveCodeBench (Vals AI)89.5%85.5%Gemini 3.8 Flash
SWE-bench Verified (Vals AI)80.0%77.6%Gemini 3.8 Flash
Terminal-Bench 4 (Vals AI)19.7%0.5%Gemini 3.8 Flash
Vibe Code Bench (Vals AI)78.7%19.2%Gemini 3.8 Flash
Code migration (Vals AI)36.5%11.8%Gemini 3.8 Flash
ProgramBench (Vals AI)1.0%0.0%Gemini 3.8 Flash
IOI (Vals AI)56.9%14.9%Gemini 3.8 Flash
Terminal-Bench 2.1 (Vals AI)81.3%47.6%Gemini 3.8 Flash
SWE-bench Multimodal (Vals AI)40.8%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)18.8%7.3%Gemini 3.8 Flash
SkillsBench (Vals AI)58.0%26.1%Gemini 3.8 Flash
CyberBench (Vals AI)43.8%66.8%Inkling
SciCode56.6%47.0%Gemini 3.8 Flash
FrontierCode41.2%14.0%Gemini 3.8 Flash
FrontierSWE19.6%4.1%Gemini 3.8 Flash
WeirdML84.8%32.3%Gemini 3.8 Flash
ALE-Bench1269.7946.0Gemini 3.8 Flash
LMArena Text: coding15081466Gemini 3.8 Flash
LMArena Text: software and IT15071465Gemini 3.8 Flash
LMArena WebDev: React15771404Gemini 3.8 Flash
LMArena WebDev: HTML16161399Gemini 3.8 Flash
LMArena WebDev: from an image1593Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
AA Intelligence Index40.925.0Gemini 3.8 Flash
Epoch Capabilities Index157.4148.4Gemini 3.8 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index120
Agentic work benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
AA Agentic Index40.222.5Gemini 3.8 Flash
Design Arena: agents building web apps12381196Gemini 3.8 Flash
Design Arena: agents building full-stack apps1244Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building mobile apps1236Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Android apps1078Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building Godot games1273Not measuredOnly Gemini 3.8 Flash measured
Design Arena: PowerPoint slides1178Not measuredOnly Gemini 3.8 Flash measured
Design Arena: spreadsheets1052Not measuredOnly Gemini 3.8 Flash measured
LiveBench research79.1%59.9%Gemini 3.8 Flash
LiveBench browser64.0%16.0%Gemini 3.8 Flash
LiveBench long agentic30.1%14.1%Gemini 3.8 Flash
SREBench (Vals AI)11.1%0.0%Gemini 3.8 Flash
Finance Agent (Vals AI)61.4%46.6%Gemini 3.8 Flash
Tax Agent Bench (Vals AI)32.1%15.3%Gemini 3.8 Flash
Legal Research Bench (Vals AI)38.9%28.4%Gemini 3.8 Flash
Harvey's Legal Agent Benchmark (Vals AI)12.1%3.8%Gemini 3.8 Flash
Excel Modeling Benchmark (Vals AI)72.2%38.4%Gemini 3.8 Flash
BioMysteryBench (Vals AI)62.2%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench-Science (Vals AI)8.6%Not measuredOnly Gemini 3.8 Flash measured
Vals Science Index35.8%Not measuredOnly Gemini 3.8 Flash measured
Time Horizon Index (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
CUA-bench (Vals AI)4.2%Not measuredOnly Gemini 3.8 Flash measured
APEX-Agents64.3%33.8%Gemini 3.8 Flash
Remote Labor Index5.8%Not measuredOnly Gemini 3.8 Flash measured
Vending-Bench 2$5,094Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 14 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
GPQA Diamond94.4%87.1%Gemini 3.8 Flash
LiveBench reasoning89.3%78.3%Gemini 3.8 Flash
MysteryMechanism (Vals AI)36.5%Not measuredOnly Gemini 3.8 Flash measured
MMMU Pro (Vals AI)89.1%78.5%Gemini 3.8 Flash
GPQA Diamond (Artificial Analysis run)95.3%87.2%Gemini 3.8 Flash
Humanity's Last Exam (Artificial Analysis run)47.8%31.9%Gemini 3.8 Flash
GPQA Diamond (Epoch AI run)95.4%88.3%Gemini 3.8 Flash
ARC-AGI98.5%79.5%Gemini 3.8 Flash
ARC-AGI-289.2%36.5%Gemini 3.8 Flash
SimpleBenchNot measured50.0%Only Inkling measured
Chess puzzles58.0%21.0%Gemini 3.8 Flash
Mystery game puzzles47.0%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: hard prompts15091451Gemini 3.8 Flash
LMArena Text: expert15261466Gemini 3.8 Flash
LMArena Text: hard prompts in English15041448Gemini 3.8 Flash
LMArena Vision: diagrams1345Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: homework1351Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
OTIS Mock AIME98.9%88.9%Gemini 3.8 Flash
FrontierMath, tiers 1 to 368.4%33.3%Gemini 3.8 Flash
FrontierMath, tier 422.0%4.9%Gemini 3.8 Flash
ProofBench48.0%0.0%Gemini 3.8 Flash
LMArena Text: math15321479Gemini 3.8 Flash
LMArena Text: mathematical work15191460Gemini 3.8 Flash
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index91
Knowledge benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
MMLU Pro90.2%86.3%Gemini 3.8 Flash
LegalBench (Vals AI)87.0%83.0%Gemini 3.8 Flash
CorpFin (Vals AI)Not measured68.6%Only Inkling measured
TaxEval (Vals AI)74.5%75.3%Inkling
MortgageTax (Vals AI)65.3%64.0%Gemini 3.8 Flash
MedCode (Vals AI)48.1%41.2%Gemini 3.8 Flash
SimpleQA Verified69.7%40.3%Gemini 3.8 Flash
LMArena Text: science15231455Gemini 3.8 Flash
LMArena Text: medicine and healthcare15081447Gemini 3.8 Flash
LMArena Text: legal and government14971448Gemini 3.8 Flash
LMArena Text: business and finance14791438Gemini 3.8 Flash
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index90
Web design benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
Design Arena: websites13011224Gemini 3.8 Flash
Design Arena: UI components13181200Gemini 3.8 Flash
Design Arena: game dev13051166Gemini 3.8 Flash
Design Arena: data viz12691160Gemini 3.8 Flash
Design Arena: 3D12951161Gemini 3.8 Flash
Design Arena: all code categories13041206Gemini 3.8 Flash
Design Arena: SVG12951109Gemini 3.8 Flash
Design Arena: ASCII art12641089Gemini 3.8 Flash
LiveBench design72.7%58.3%Gemini 3.8 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index223
General benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
Vals Index56.0%29.0%Gemini 3.8 Flash
LiveBench data analysis54.0%72.8%Inkling
Public Benefits Bench (Vals AI)65.3%58.5%Gemini 3.8 Flash
SAGE (Vals AI)35.1%36.5%Inkling
MedScribe (Vals AI)84.5%85.4%Inkling
Vals Multimodal IndexNot measured49.4%Only Inkling measured
Long context reasoning (AA-LCR)84.0%77.3%Gemini 3.8 Flash
DTBench95.7%87.5%Gemini 3.8 Flash
LMCA52.9%37.6%Gemini 3.8 Flash
Surface Evolver Bench76.9%Not measuredOnly Gemini 3.8 Flash measured
Furniture assembly31.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text14991442Gemini 3.8 Flash
LMArena Text: instruction following14921425Gemini 3.8 Flash
LMArena Text: creative writing14881390Gemini 3.8 Flash
LMArena Vision1315Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: English14981442Gemini 3.8 Flash
LMArena Text: non-English14911434Gemini 3.8 Flash
LMArena Text: Chinese15531493Gemini 3.8 Flash
LMArena Text: German15011445Gemini 3.8 Flash
LMArena Text: Japanese15071429Gemini 3.8 Flash
LMArena Text: Korean14641403Gemini 3.8 Flash
LMArena Text: French14961455Gemini 3.8 Flash
LMArena Text: Spanish14871449Gemini 3.8 Flash
LMArena Text: Russian15141430Gemini 3.8 Flash
LMArena Text: Polish14971450Gemini 3.8 Flash
LMArena Text: multi-turn15031437Gemini 3.8 Flash
LMArena Text: longer queries15071435Gemini 3.8 Flash
LMArena Text: writing and language14941404Gemini 3.8 Flash
LMArena Text: entertainment and media14801394Gemini 3.8 Flash
LMArena Vision: English1318Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: Chinese1416Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: reading text1333Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: humor1321Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision: creative writing1299Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.8 Flash and Inkling
BenchmarkGemini 3.8 FlashInklingLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 3.8 Flash$0.0029Fits in one request
Inkling$0.0030Fits in one request

Gemini 3.8 Flash costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.054Fits in one request
Inkling$0.062Fits in one request

Gemini 3.8 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.206Fits in one request
Inkling$0.240Fits in one request

Gemini 3.8 Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 3.8 Flash and Inkling
SpecificationGoogle Gemini 3.8 FlashThinking Machines Inkling
MakerGoogleThinking Machines
WeightsNo public weights listedOpen weights
ReleasedSeptember 2, 2026July 17, 2026
Context window1.05M524K
Input $/Mtok$0.825$1.00
Output $/Mtok$4.125$4.05
Coding index70.549.7
Independent measurements behind it22
Cost per solved task$2.74$0.76
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than Inkling for coding?

Pick Gemini 3.8 Flash for coding: it scores 70.5 on the Vibe Coding Index against 49.7 for Inkling. Pick Inkling when output tokens cost 1.0x less, or when a solved task costs $0.76 against $2.74.

Which is cheaper, Gemini 3.8 Flash or Inkling?

Gemini 3.8 Flash costs $0.825 per million input tokens and $4.125 per million output tokens; Inkling costs $1.00 and $4.05. Per solved SWE-bench Verified task, Gemini 3.8 Flash costs $2.74 and Inkling $0.76.

Which has the bigger context window, Gemini 3.8 Flash or Inkling?

Gemini 3.8 Flash, with 1.05M tokens against 524K.

How many benchmarks is the Gemini 3.8 Flash vs Inkling comparison based on?

99 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 2 independent benchmarks and Inkling's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemini-3-8-flash-vs-thinkingmachines-inkling" title="Gemini 3.8 Flash vs Inkling, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemini-3-8-flash-vs-thinkingmachines-inkling">LLMBenchmark.ai, Gemini 3.8 Flash vs Inkling</a></p>