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Gemini 3.6 Flash vs Morph V3 Large

Morph V3 Large costs 2.0x less per output token than Gemini 3.6 Flash ($1.90 vs $3.75 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Gemini 3.6 FlashGoogle
Coding
62.5
Overall
34.0
Output $/M
$3.75
Morph V3 LargeMorph
Coding
No data
Overall
No data
Output $/M
$1.90
vs $3.75 vs $1.90 per 1M output tokens. Morph V3 Large is 2.0x cheaper.

Gemini 3.6 Flash or Morph V3 Large: which to pick

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Morph V3 Large has none, so the two cannot be ranked on coding.

Pick Morph V3 Large for output tokens 2.0x cheaper ($1.90 vs $3.75 per million).

No benchmark has tested both yet. Gemini 3.6 Flash has results on LMArena WebDev, AA Coding Index and LiveCodeBench (Vals AI); Morph V3 Large has none yet. Compare them on price and context instead.

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 3.6 Flash 62.5 from 4 benchmarks, Morph V3 Large not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Gemini 3.6 Flash $3.75 against Morph V3 Large $1.90 per million output tokens, 2.0x apart.
Context window
Gemini 3.6 Flash takes 1.05M tokens, Morph V3 Large 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index20 boards measured
Coding benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
LMArena WebDev1538Not measuredOnly Gemini 3.6 Flash measured
AA Coding Index69.2Not measuredOnly Gemini 3.6 Flash measured
LiveCodeBench (Vals AI)88.1%Not measuredOnly Gemini 3.6 Flash measured
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Gemini 3.6 Flash measured
Vibe Code Bench (Vals AI)64.0%Not measuredOnly Gemini 3.6 Flash measured
Code migration (Vals AI)30.9%Not measuredOnly Gemini 3.6 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.6 Flash measured
IOI (Vals AI)35.1%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench 2.1 (Vals AI)73.8%Not measuredOnly Gemini 3.6 Flash measured
CyberBench (Vals AI)45.4%Not measuredOnly Gemini 3.6 Flash measured
SciCode53.4%Not measuredOnly Gemini 3.6 Flash measured
FrontierCode34.4%Not measuredOnly Gemini 3.6 Flash measured
WeirdML56.1%Not measuredOnly Gemini 3.6 Flash measured
ALE-Bench715.5Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: coding1491Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: software and IT1492Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: React1528Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: HTML1547Not measuredOnly Gemini 3.6 Flash measured
LMArena WebDev: from an image1545Not measuredOnly Gemini 3.6 Flash measured
SciCode10.8%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 19 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
AA Intelligence Index34.0Not measuredOnly Gemini 3.6 Flash measured
Epoch Capabilities Index154.5Not measuredOnly Gemini 3.6 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
Agentic work benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
AA Agentic Index29.0Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building web apps1197Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building full-stack apps1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building mobile apps1199Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building Android apps1203Not measuredOnly Gemini 3.6 Flash measured
Design Arena: agents building games1181Not measuredOnly Gemini 3.6 Flash measured
Design Arena: HTML slides1148Not measuredOnly Gemini 3.6 Flash measured
Design Arena: PowerPoint slides1146Not measuredOnly Gemini 3.6 Flash measured
Design Arena: spreadsheets1034Not measuredOnly Gemini 3.6 Flash measured
Finance Agent (Vals AI)56.3%Not measuredOnly Gemini 3.6 Flash measured
Tax Agent Bench (Vals AI)18.0%Not measuredOnly Gemini 3.6 Flash measured
Legal Research Bench (Vals AI)25.0%Not measuredOnly Gemini 3.6 Flash measured
Excel Modeling Benchmark (Vals AI)65.4%Not measuredOnly Gemini 3.6 Flash measured
BioMysteryBench (Vals AI)58.5%Not measuredOnly Gemini 3.6 Flash measured
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Gemini 3.6 Flash measured
APEX-Agents46.9%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 25 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
Reasoning benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
GPQA Diamond93.4%Not measuredOnly Gemini 3.6 Flash measured
MMMU Pro (Vals AI)88.4%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Artificial Analysis run)92.8%Not measuredOnly Gemini 3.6 Flash measured
Humanity's Last Exam (Artificial Analysis run)40.8%Not measuredOnly Gemini 3.6 Flash measured
GPQA Diamond (Epoch AI run)94.1%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI91.2%Not measuredOnly Gemini 3.6 Flash measured
ARC-AGI-260.4%Not measuredOnly Gemini 3.6 Flash measured
Chess puzzles42.0%Not measuredOnly Gemini 3.6 Flash measured
Mystery game puzzles30.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts1486Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: expert1490Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: hard prompts in English1484Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: diagrams1314Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: homework1314Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 8 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Math benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
OTIS Mock AIME94.2%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tiers 1 to 358.9%Not measuredOnly Gemini 3.6 Flash measured
FrontierMath, tier 422.0%Not measuredOnly Gemini 3.6 Flash measured
ProofBench36.0%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: math1508Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: mathematical work1492Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
Knowledge benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
MMLU Pro89.3%Not measuredOnly Gemini 3.6 Flash measured
LegalBench (Vals AI)86.7%Not measuredOnly Gemini 3.6 Flash measured
CorpFin (Vals AI)63.3%Not measuredOnly Gemini 3.6 Flash measured
TaxEval (Vals AI)74.9%Not measuredOnly Gemini 3.6 Flash measured
MortgageTax (Vals AI)67.6%Not measuredOnly Gemini 3.6 Flash measured
MedCode (Vals AI)53.1%Not measuredOnly Gemini 3.6 Flash measured
SimpleQA Verified66.2%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: science1489Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: medicine and healthcare1469Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: legal and government1479Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: business and finance1464Not measuredOnly Gemini 3.6 Flash measured
FACTS Benchmark Suite65.3%Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Web design benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
Design Arena: websites1300Not measuredOnly Gemini 3.6 Flash measured
Design Arena: UI components1297Not measuredOnly Gemini 3.6 Flash measured
Design Arena: game dev1263Not measuredOnly Gemini 3.6 Flash measured
Design Arena: data viz1289Not measuredOnly Gemini 3.6 Flash measured
Design Arena: 3D1272Not measuredOnly Gemini 3.6 Flash measured
Design Arena: all code categories1290Not measuredOnly Gemini 3.6 Flash measured
Design Arena: ASCII art1281Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 2 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index32 boards measured
General benchmarks for Gemini 3.6 Flash and Morph V3 Large
BenchmarkGemini 3.6 FlashMorph V3 LargeLeader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Gemini 3.6 Flash measured
SAGE (Vals AI)48.7%Not measuredOnly Gemini 3.6 Flash measured
MedScribe (Vals AI)79.7%Not measuredOnly Gemini 3.6 Flash measured
Vals Multimodal Index65.1%Not measuredOnly Gemini 3.6 Flash measured
Long context reasoning (AA-LCR)80.0%Not measuredOnly Gemini 3.6 Flash measured
DTBench95.5%Not measuredOnly Gemini 3.6 Flash measured
LMCA44.9%Not measuredOnly Gemini 3.6 Flash measured
Furniture assembly23.3%Not measuredOnly Gemini 3.6 Flash measured
LMArena Text1480Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: instruction following1467Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: creative writing1466Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision1299Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: English1482Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: non-English1470Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Chinese1531Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: German1480Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Japanese1475Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Korean1429Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: French1503Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Spanish1476Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Russian1488Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: Polish1473Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: multi-turn1481Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: longer queries1475Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: writing and language1470Not measuredOnly Gemini 3.6 Flash measured
LMArena Text: entertainment and media1456Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: English1295Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: Chinese1357Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: reading text1312Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: humor1289Not measuredOnly Gemini 3.6 Flash measured
LMArena Vision: creative writing1278Not measuredOnly Gemini 3.6 Flash measured
LMArena Document1456Not measuredOnly Gemini 3.6 Flash measured
Neither model has a result on the other 14 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 3.6 Flash$0.0026Fits in one request
Morph V3 Large$0.0019Fits in one request

Morph V3 Large costs less

Repository review

50K input + 3K output tokens

Gemini 3.6 Flash$0.049Fits in one request
Morph V3 Large$0.051Fits in one request

Gemini 3.6 Flash costs less

Agent loop

200K input + 10K output tokens

Gemini 3.6 Flash$0.188Fits in one request
Morph V3 Large$0.199Fits in one request

Gemini 3.6 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 3.6 Flash and Morph V3 Large
SpecificationGoogle Gemini 3.6 FlashMorph V3 Large
MakerGoogleMorph
WeightsNo public weights listedNo public weights listed
ReleasedJuly 21, 2026July 7, 2025
Context window1.05M262K
Input $/Mtok$0.75$0.90
Output $/Mtok$3.75$1.90
Coding index62.5Not benchmarked
Independent measurements behind it40
Cost per solved task$1.49Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.6 Flash better than Morph V3 Large for coding?

Only Gemini 3.6 Flash has a coding score, 62.5 on the Vibe Coding Index; Morph V3 Large has none, so the two cannot be ranked on coding. Pick Morph V3 Large for output tokens 2.0x cheaper ($1.90 vs $3.75 per million).

Which is cheaper, Gemini 3.6 Flash or Morph V3 Large?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens; Morph V3 Large costs $0.90 and $1.90. Cost per solved task is known for Gemini 3.6 Flash only.

Which has the bigger context window, Gemini 3.6 Flash or Morph V3 Large?

Gemini 3.6 Flash, with 1.05M tokens against 262K.

Has any benchmark tested both Gemini 3.6 Flash and Morph V3 Large?

No benchmark has tested both yet. Gemini 3.6 Flash has results on LMArena WebDev, AA Coding Index and LiveCodeBench (Vals AI); Morph V3 Large has none yet. Compare them on price and context instead. Data as of October 21, 2026.

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