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Seed-2.0-Code vs Gemini 3.5 Flash

Seed-2.0-Code costs 3.0x less per output token than Gemini 3.5 Flash ($3.00 vs $9.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Seed-2.0-CodeByteDance Seed
Coding
No data
Overall
No data
Output $/M
$3.00
Gemini 3.5 FlashGoogle
Coding
39.8
Overall
33.6
Output $/M
$9.00
vs $3.00 vs $9.00 per 1M output tokens. Seed-2.0-Code is 3.0x cheaper.

Seed-2.0-Code or Gemini 3.5 Flash: which to pick

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Seed-2.0-Code has none, so the two cannot be ranked on coding.

Pick Seed-2.0-Code for output tokens 3.0x cheaper ($3.00 vs $9.00 per million).

No benchmark has tested both yet. Seed-2.0-Code has none yet; Gemini 3.5 Flash on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI). 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
Seed-2.0-Code not benchmarked, Gemini 3.5 Flash 39.8 from 4 benchmarks.
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
Seed-2.0-Code $3.00 against Gemini 3.5 Flash $9.00 per million output tokens, 3.0x apart.
Context window
Seed-2.0-Code takes 262K tokens, Gemini 3.5 Flash 1.05M.

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 Index18 boards measured
Coding benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
LMArena WebDevNot measured1499Only Gemini 3.5 Flash measured
LiveCodeBench (Vals AI)Not measured87.6%Only Gemini 3.5 Flash measured
SWE-bench Verified (Vals AI)Not measured78.8%Only Gemini 3.5 Flash measured
Terminal-Bench 4 (Vals AI)Not measured6.1%Only Gemini 3.5 Flash measured
Vibe Code Bench (Vals AI)Not measured48.7%Only Gemini 3.5 Flash measured
Code migration (Vals AI)Not measured26.8%Only Gemini 3.5 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only Gemini 3.5 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured74.2%Only Gemini 3.5 Flash measured
SkillsBench (Vals AI)Not measured52.7%Only Gemini 3.5 Flash measured
SciCodeNot measured53.9%Only Gemini 3.5 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured46.2%Only Gemini 3.5 Flash measured
WeirdMLNot measured62.6%Only Gemini 3.5 Flash measured
ALE-BenchNot measured911.0Only Gemini 3.5 Flash measured
LMArena Text: codingNot measured1493Only Gemini 3.5 Flash measured
LMArena Text: software and ITNot measured1494Only Gemini 3.5 Flash measured
LMArena WebDev: ReactNot measured1495Only Gemini 3.5 Flash measured
LMArena WebDev: HTMLNot measured1522Only Gemini 3.5 Flash measured
LMArena WebDev: from an imageNot measured1504Only Gemini 3.5 Flash measured
Neither model has a result on the other 20 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
AA Intelligence IndexNot measured33.6Only Gemini 3.5 Flash measured
Epoch Capabilities IndexNot measured154.9Only Gemini 3.5 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
Agentic work benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
Design Arena: agents building web appsNot measured1202Only Gemini 3.5 Flash measured
Design Arena: agents building full-stack appsNot measured1197Only Gemini 3.5 Flash measured
Design Arena: agents building mobile appsNot measured1174Only Gemini 3.5 Flash measured
Design Arena: agents building Android appsNot measured1184Only Gemini 3.5 Flash measured
Design Arena: agents building Godot gamesNot measured1098Only Gemini 3.5 Flash measured
Design Arena: agents building gamesNot measured1180Only Gemini 3.5 Flash measured
Design Arena: HTML slidesNot measured1142Only Gemini 3.5 Flash measured
Design Arena: PowerPoint slidesNot measured1179Only Gemini 3.5 Flash measured
Finance Agent (Vals AI)Not measured57.9%Only Gemini 3.5 Flash measured
Tax Agent Bench (Vals AI)Not measured21.6%Only Gemini 3.5 Flash measured
Legal Research Bench (Vals AI)Not measured30.8%Only Gemini 3.5 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured63.5%Only Gemini 3.5 Flash measured
Terminal-Bench-Science (Vals AI)Not measured5.7%Only Gemini 3.5 Flash measured
τ²-Bench TelecomNot measured95.6%Only Gemini 3.5 Flash measured
APEX-AgentsNot measured27.5%Only Gemini 3.5 Flash measured
Vending-Bench 2Not measured$5,396Only Gemini 3.5 Flash measured
Neither model has a result on the other 23 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
Reasoning benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
GPQA DiamondNot measured92.7%Only Gemini 3.5 Flash measured
MMMU Pro (Vals AI)Not measured88.3%Only Gemini 3.5 Flash measured
GPQA Diamond (Artificial Analysis run)Not measured92.2%Only Gemini 3.5 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured42.7%Only Gemini 3.5 Flash measured
GPQA Diamond (Epoch AI run)Not measured92.8%Only Gemini 3.5 Flash measured
ARC-AGINot measured92.5%Only Gemini 3.5 Flash measured
ARC-AGI-2Not measured72.1%Only Gemini 3.5 Flash measured
SimpleBenchNot measured76.7%Only Gemini 3.5 Flash measured
Chess puzzlesNot measured45.0%Only Gemini 3.5 Flash measured
Mystery game puzzlesNot measured32.0%Only Gemini 3.5 Flash measured
EBR-benchNot measured4.8%Only Gemini 3.5 Flash measured
LMArena Text: hard promptsNot measured1488Only Gemini 3.5 Flash measured
LMArena Text: expertNot measured1495Only Gemini 3.5 Flash measured
LMArena Text: hard prompts in EnglishNot measured1483Only Gemini 3.5 Flash measured
LMArena Vision: diagramsNot measured1323Only Gemini 3.5 Flash measured
LMArena Vision: homeworkNot measured1330Only Gemini 3.5 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 measured
Math benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
OTIS Mock AIMENot measured95.6%Only Gemini 3.5 Flash measured
FrontierMath, tiers 1 to 3Not measured62.8%Only Gemini 3.5 Flash measured
FrontierMath, tier 4Not measured26.8%Only Gemini 3.5 Flash measured
ProofBenchNot measured31.0%Only Gemini 3.5 Flash measured
LMArena Text: mathNot measured1504Only Gemini 3.5 Flash measured
LMArena Text: mathematical workNot measured1495Only Gemini 3.5 Flash measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
Knowledge benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
MMLU ProNot measured89.5%Only Gemini 3.5 Flash measured
LegalBench (Vals AI)Not measured83.6%Only Gemini 3.5 Flash measured
CorpFin (Vals AI)Not measured64.7%Only Gemini 3.5 Flash measured
TaxEval (Vals AI)Not measured74.4%Only Gemini 3.5 Flash measured
MortgageTax (Vals AI)Not measured68.1%Only Gemini 3.5 Flash measured
MedCode (Vals AI)Not measured55.8%Only Gemini 3.5 Flash measured
SimpleQA VerifiedNot measured66.2%Only Gemini 3.5 Flash measured
LMArena Text: scienceNot measured1495Only Gemini 3.5 Flash measured
LMArena Text: medicine and healthcareNot measured1483Only Gemini 3.5 Flash measured
LMArena Text: legal and governmentNot measured1488Only Gemini 3.5 Flash measured
LMArena Text: business and financeNot measured1467Only Gemini 3.5 Flash measured
Neither model has a result on the other 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
Design Arena: websitesNot measured1268Only Gemini 3.5 Flash measured
Design Arena: UI componentsNot measured1273Only Gemini 3.5 Flash measured
Design Arena: game devNot measured1263Only Gemini 3.5 Flash measured
Design Arena: data vizNot measured1236Only Gemini 3.5 Flash measured
Design Arena: 3DNot measured1244Only Gemini 3.5 Flash measured
Design Arena: all code categoriesNot measured1266Only Gemini 3.5 Flash measured
Design Arena: SVGNot measured1254Only Gemini 3.5 Flash measured
Design Arena: ASCII artNot measured1254Only Gemini 3.5 Flash measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards measured
General benchmarks for Seed-2.0-Code and Gemini 3.5 Flash
BenchmarkSeed-2.0-CodeGemini 3.5 FlashLeader
Public Benefits Bench (Vals AI)Not measured59.5%Only Gemini 3.5 Flash measured
SAGE (Vals AI)Not measured49.9%Only Gemini 3.5 Flash measured
MedScribe (Vals AI)Not measured76.6%Only Gemini 3.5 Flash measured
Vals Multimodal IndexNot measured62.9%Only Gemini 3.5 Flash measured
IFBenchNot measured76.3%Only Gemini 3.5 Flash measured
Long context reasoning (AA-LCR)Not measured74.3%Only Gemini 3.5 Flash measured
DTBenchNot measured94.7%Only Gemini 3.5 Flash measured
LMCANot measured47.1%Only Gemini 3.5 Flash measured
Surface Evolver BenchNot measured58.1%Only Gemini 3.5 Flash measured
LMArena TextNot measured1482Only Gemini 3.5 Flash measured
LMArena Text: instruction followingNot measured1467Only Gemini 3.5 Flash measured
LMArena Text: creative writingNot measured1470Only Gemini 3.5 Flash measured
LMArena VisionNot measured1308Only Gemini 3.5 Flash measured
LMArena Text: EnglishNot measured1481Only Gemini 3.5 Flash measured
LMArena Text: non-EnglishNot measured1475Only Gemini 3.5 Flash measured
LMArena Text: ChineseNot measured1527Only Gemini 3.5 Flash measured
LMArena Text: GermanNot measured1494Only Gemini 3.5 Flash measured
LMArena Text: JapaneseNot measured1486Only Gemini 3.5 Flash measured
LMArena Text: KoreanNot measured1448Only Gemini 3.5 Flash measured
LMArena Text: FrenchNot measured1490Only Gemini 3.5 Flash measured
LMArena Text: SpanishNot measured1480Only Gemini 3.5 Flash measured
LMArena Text: RussianNot measured1493Only Gemini 3.5 Flash measured
LMArena Text: PolishNot measured1516Only Gemini 3.5 Flash measured
LMArena Text: multi-turnNot measured1481Only Gemini 3.5 Flash measured
LMArena Text: longer queriesNot measured1483Only Gemini 3.5 Flash measured
LMArena Text: writing and languageNot measured1478Only Gemini 3.5 Flash measured
LMArena Text: entertainment and mediaNot measured1459Only Gemini 3.5 Flash measured
LMArena Vision: EnglishNot measured1305Only Gemini 3.5 Flash measured
LMArena Vision: ChineseNot measured1377Only Gemini 3.5 Flash measured
LMArena Vision: reading textNot measured1317Only Gemini 3.5 Flash measured
LMArena Vision: humorNot measured1321Only Gemini 3.5 Flash measured
LMArena Vision: creative writingNot measured1301Only Gemini 3.5 Flash measured
LMArena DocumentNot measured1463Only Gemini 3.5 Flash measured
Neither model has a result on the other 13 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

Seed-2.0-Code$0.0020Fits in one request
Gemini 3.5 Flash$0.0060Fits in one request

Seed-2.0-Code costs less

Repository review

50K input + 3K output tokens

Seed-2.0-Code$0.034Fits in one request
Gemini 3.5 Flash$0.102Fits in one request

Seed-2.0-Code costs less

Agent loop

200K input + 10K output tokens

Seed-2.0-Code$0.130Fits in one request
Gemini 3.5 Flash$0.390Fits in one request

Seed-2.0-Code 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 Seed-2.0-Code and Gemini 3.5 Flash
SpecificationByteDance Seed Seed-2.0-CodeGoogle Gemini 3.5 Flash
MakerByteDance SeedGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 12, 2026May 19, 2026
Context window262K1.05M
Input $/Mtok$0.50$1.50
Output $/Mtok$3.00$9.00
Coding indexNot benchmarked39.8
Independent measurements behind it04
Cost per solved taskNot computable$1.21
SourceOpenRouter listingOpenRouter listing

Questions

Is Seed-2.0-Code better than Gemini 3.5 Flash for coding?

Only Gemini 3.5 Flash has a coding score, 39.8 on the Vibe Coding Index; Seed-2.0-Code has none, so the two cannot be ranked on coding. Pick Seed-2.0-Code for output tokens 3.0x cheaper ($3.00 vs $9.00 per million).

Which is cheaper, Seed-2.0-Code or Gemini 3.5 Flash?

Seed-2.0-Code costs $0.50 per million input tokens and $3.00 per million output tokens; Gemini 3.5 Flash costs $1.50 and $9.00. Cost per solved task is known for Gemini 3.5 Flash only.

Which has the bigger context window, Seed-2.0-Code or Gemini 3.5 Flash?

Gemini 3.5 Flash, with 1.05M tokens against 262K.

Has any benchmark tested both Seed-2.0-Code and Gemini 3.5 Flash?

No benchmark has tested both yet. Seed-2.0-Code has none yet; Gemini 3.5 Flash on LMArena WebDev, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI). Compare them on price and context instead. Data as of October 21, 2026.

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