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Gemini 3.8 Flash vs Morph V3 Fast

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.8 FlashGoogle
Coding
61.6
Overall
40.9
Output $/M
$3.75
Morph V3 FastMorph
Coding
No data
Overall
No data
Output $/M
$1.20
vs $3.75 vs $1.20 per 1M output tokens. Morph V3 Fast is 3.1x cheaper.

Decision reading

Only Gemini 3.8 Flash has a coding score, 61.6 on the Vibe Coding Index; Morph V3 Fast has none, so the two cannot be ranked on coding.

Morph V3 Fast has the edge where output tokens cost 3.1x less.

Shared results
0
Gemini 3.8 Flash only
126
Morph V3 Fast only
0
Like-for-like categories
0 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 61.6 from 6 benchmarks, Morph V3 Fast not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Gemini 3.8 Flash $3.75 against Morph V3 Fast $1.20 per million output tokens, 3.1x apart.
Context window
Gemini 3.8 Flash takes 1.05M tokens, Morph V3 Fast 262K.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index25 boards, none shared
Coding benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
LiveBench coding82.2%Not measuredOnly Gemini 3.8 Flash measured
LMArena WebDev1585Not measuredOnly Gemini 3.8 Flash measured
AA Coding Index76.3Not measuredOnly Gemini 3.8 Flash measured
LiveCodeBench (Vals AI)89.5%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Verified (Vals AI)80.0%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench 4 (Vals AI)19.7%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench (Vals AI)78.7%Not measuredOnly Gemini 3.8 Flash measured
Code migration (Vals AI)36.5%Not measuredOnly Gemini 3.8 Flash measured
ProgramBench (Vals AI)1.0%Not measuredOnly Gemini 3.8 Flash measured
IOI (Vals AI)56.9%Not measuredOnly Gemini 3.8 Flash measured
Terminal-Bench 2.1 (Vals AI)81.3%Not measuredOnly Gemini 3.8 Flash measured
SWE-bench Multimodal (Vals AI)40.8%Not measuredOnly Gemini 3.8 Flash measured
Vibe Code Bench 1-100 (Vals AI)18.8%Not measuredOnly Gemini 3.8 Flash measured
SkillsBench (Vals AI)58.0%Not measuredOnly Gemini 3.8 Flash measured
CyberBench (Vals AI)43.8%Not measuredOnly Gemini 3.8 Flash measured
SciCode56.6%Not measuredOnly Gemini 3.8 Flash measured
FrontierCode41.2%Not measuredOnly Gemini 3.8 Flash measured
FrontierSWE19.6%Not measuredOnly Gemini 3.8 Flash measured
WeirdML84.8%Not measuredOnly Gemini 3.8 Flash measured
ALE-Bench1269.7Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: coding1508Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: software and IT1507Not measuredOnly Gemini 3.8 Flash measured
LMArena WebDev: React1577Not measuredOnly Gemini 3.8 Flash measured
LMArena WebDev: HTML1616Not measuredOnly Gemini 3.8 Flash measured
LMArena WebDev: from an image1593Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 13 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
AA Intelligence Index40.9Not measuredOnly Gemini 3.8 Flash measured
Epoch Capabilities Index157.4Not measuredOnly Gemini 3.8 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
Agentic work benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
AA Agentic Index40.2Not measuredOnly Gemini 3.8 Flash measured
Design Arena: agents building web apps1238Not measuredOnly Gemini 3.8 Flash measured
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 apps1071Not 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: spreadsheets1051Not measuredOnly Gemini 3.8 Flash measured
LiveBench research79.1%Not measuredOnly Gemini 3.8 Flash measured
LiveBench browser64.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench long agentic30.1%Not measuredOnly Gemini 3.8 Flash measured
SREBench (Vals AI)11.1%Not measuredOnly Gemini 3.8 Flash measured
Finance Agent (Vals AI)61.4%Not measuredOnly Gemini 3.8 Flash measured
Tax Agent Bench (Vals AI)32.1%Not measuredOnly Gemini 3.8 Flash measured
Legal Research Bench (Vals AI)38.9%Not measuredOnly Gemini 3.8 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)12.1%Not measuredOnly Gemini 3.8 Flash measured
Excel Modeling Benchmark (Vals AI)72.2%Not measuredOnly Gemini 3.8 Flash measured
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%Not measuredOnly Gemini 3.8 Flash measured
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
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Reasoning benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
GPQA Diamond94.4%Not measuredOnly Gemini 3.8 Flash measured
LiveBench reasoning89.3%Not measuredOnly Gemini 3.8 Flash measured
MysteryMechanism (Vals AI)36.5%Not measuredOnly Gemini 3.8 Flash measured
MMMU Pro (Vals AI)89.1%Not measuredOnly Gemini 3.8 Flash measured
GPQA Diamond (Artificial Analysis run)95.3%Not measuredOnly Gemini 3.8 Flash measured
Humanity's Last Exam (Artificial Analysis run)47.8%Not measuredOnly Gemini 3.8 Flash measured
GPQA Diamond (Epoch AI run)95.4%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI98.5%Not measuredOnly Gemini 3.8 Flash measured
ARC-AGI-289.2%Not measuredOnly Gemini 3.8 Flash measured
Chess puzzles58.0%Not measuredOnly Gemini 3.8 Flash measured
Mystery game puzzles47.0%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: hard prompts1509Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: expert1526Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: hard prompts in English1504Not measuredOnly Gemini 3.8 Flash measured
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 5 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
OTIS Mock AIME98.9%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tiers 1 to 368.4%Not measuredOnly Gemini 3.8 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.8 Flash measured
ProofBench48.0%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: math1532Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: mathematical work1519Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Knowledge benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
MMLU Pro90.2%Not measuredOnly Gemini 3.8 Flash measured
LegalBench (Vals AI)87.0%Not measuredOnly Gemini 3.8 Flash measured
TaxEval (Vals AI)74.5%Not measuredOnly Gemini 3.8 Flash measured
MortgageTax (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
MedCode (Vals AI)48.1%Not measuredOnly Gemini 3.8 Flash measured
SimpleQA Verified69.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: science1523Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: medicine and healthcare1508Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: legal and government1497Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: business and finance1479Not measuredOnly Gemini 3.8 Flash measured
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
Design Arena: websites1301Not measuredOnly Gemini 3.8 Flash measured
Design Arena: UI components1318Not measuredOnly Gemini 3.8 Flash measured
Design Arena: game dev1305Not measuredOnly Gemini 3.8 Flash measured
Design Arena: data viz1269Not measuredOnly Gemini 3.8 Flash measured
Design Arena: 3D1295Not measuredOnly Gemini 3.8 Flash measured
Design Arena: all code categories1304Not measuredOnly Gemini 3.8 Flash measured
Design Arena: SVG1295Not measuredOnly Gemini 3.8 Flash measured
Design Arena: ASCII art1264Not measuredOnly Gemini 3.8 Flash measured
LiveBench design72.7%Not measuredOnly Gemini 3.8 Flash measured
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards, none shared
General benchmarks for Gemini 3.8 Flash and Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
Vals Index56.0%Not measuredOnly Gemini 3.8 Flash measured
LiveBench data analysis54.0%Not measuredOnly Gemini 3.8 Flash measured
Public Benefits Bench (Vals AI)65.3%Not measuredOnly Gemini 3.8 Flash measured
SAGE (Vals AI)35.1%Not measuredOnly Gemini 3.8 Flash measured
MedScribe (Vals AI)84.5%Not measuredOnly Gemini 3.8 Flash measured
Long context reasoning (AA-LCR)84.0%Not measuredOnly Gemini 3.8 Flash measured
DTBench95.7%Not measuredOnly Gemini 3.8 Flash measured
LMCA52.9%Not measuredOnly Gemini 3.8 Flash measured
Surface Evolver Bench76.9%Not measuredOnly Gemini 3.8 Flash measured
Furniture assembly31.7%Not measuredOnly Gemini 3.8 Flash measured
LMArena Text1499Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: instruction following1492Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: creative writing1488Not measuredOnly Gemini 3.8 Flash measured
LMArena Vision1315Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: English1498Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: non-English1491Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Chinese1553Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: German1501Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Japanese1507Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Korean1464Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: French1496Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Spanish1487Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Russian1514Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: Polish1497Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: multi-turn1503Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: longer queries1507Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: writing and language1494Not measuredOnly Gemini 3.8 Flash measured
LMArena Text: entertainment and media1480Not measuredOnly Gemini 3.8 Flash measured
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 13 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 Morph V3 Fast
BenchmarkGemini 3.8 FlashMorph V3 FastLeader
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$0.0026Fits in one request
Morph V3 Fast$0.0014Fits in one request

Morph V3 Fast costs less

Repository review

50K input + 3K output tokens

Gemini 3.8 Flash$0.049Fits in one request
Morph V3 Fast$0.044Fits in one request

Morph V3 Fast costs less

Agent loop

200K input + 10K output tokens

Gemini 3.8 Flash$0.188Fits in one request
Morph V3 Fast$0.172Fits in one request

Morph V3 Fast 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 Morph V3 Fast
SpecificationGoogle Gemini 3.8 FlashMorph V3 Fast
MakerGoogleMorph
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 2, 2026July 7, 2025
Context window1.05M262K
Input $/Mtok$0.75$0.80
Output $/Mtok$3.75$1.20
Coding index61.6Not benchmarked
Independent measurements behind it60
Cost per solved task$2.74Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.8 Flash better than Morph V3 Fast for coding?

Only Gemini 3.8 Flash has a coding score, 61.6 on the Vibe Coding Index; Morph V3 Fast has none, so the two cannot be ranked on coding. Morph V3 Fast has the edge where output tokens cost 3.1x less.

Which is cheaper, Gemini 3.8 Flash or Morph V3 Fast?

Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Morph V3 Fast costs $0.80 and $1.20. Cost per solved task is known for Gemini 3.8 Flash only.

Which has the bigger context window, Gemini 3.8 Flash or Morph V3 Fast?

Gemini 3.8 Flash, with 1.05M tokens against 262K.

How many benchmarks is the Gemini 3.8 Flash vs Morph V3 Fast comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Gemini 3.8 Flash's coding index rests on 6 independent benchmarks and Morph V3 Fast's on 0. Where only one model has a result, the page says so instead of naming a winner.

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