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Seed-2.0-Code vs Gemini 2.5 Pro

Seed-2.0-Code costs 3.3x less per output token than Gemini 2.5 Pro ($3.00 vs $10.00 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 2.5 ProGoogle
Coding
19.1
Overall
16.1
Output $/M
$10.00
vs $3.00 vs $10.00 per 1M output tokens. Seed-2.0-Code is 3.3x cheaper.

Seed-2.0-Code or Gemini 2.5 Pro: which to pick

Only Gemini 2.5 Pro has a coding score, 19.1 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 3.3x cheaper ($3.00 vs $10.00 per million).

No benchmark has tested both yet. Seed-2.0-Code has none yet; Gemini 2.5 Pro on SWE-bench Verified, LMArena WebDev and AA Coding Index. 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 2.5 Pro 19.1 from 3 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 2.5 Pro $10.00 per million output tokens, 3.3x apart.
Context window
Seed-2.0-Code takes 262K tokens, Gemini 2.5 Pro 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 Index15 boards measured
Coding benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
SWE-bench VerifiedNot measured53.6%Only Gemini 2.5 Pro measured
LMArena WebDevNot measured1226Only Gemini 2.5 Pro measured
AA Coding IndexNot measured33.3Only Gemini 2.5 Pro measured
SWE-bench Verified (Vals AI)Not measured54.4%Only Gemini 2.5 Pro measured
Vibe Code Bench (Vals AI)Not measured0.4%Only Gemini 2.5 Pro measured
LiveCodeBench (Artificial Analysis run)Not measured80.1%Only Gemini 2.5 Pro measured
SciCodeNot measured46.3%Only Gemini 2.5 Pro measured
Terminal-Bench Hard (Artificial Analysis run)Not measured26.5%Only Gemini 2.5 Pro measured
Terminal-BenchNot measured32.6%Only Gemini 2.5 Pro measured
GSO-BenchNot measured3.9%Only Gemini 2.5 Pro measured
WeirdMLNot measured54.0%Only Gemini 2.5 Pro measured
LMArena Text: codingNot measured1452Only Gemini 2.5 Pro measured
LMArena Text: software and ITNot measured1459Only Gemini 2.5 Pro measured
LMArena WebDev: HTMLNot measured1235Only Gemini 2.5 Pro measured
LMArena WebDev: from an imageNot measured1285Only Gemini 2.5 Pro measured
Neither model has a result on the other 23 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
AA Intelligence IndexNot measured16.1Only Gemini 2.5 Pro measured
Epoch Capabilities IndexNot measured145.1Only Gemini 2.5 Pro measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Agentic work benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
AA Agentic IndexNot measured1.6Only Gemini 2.5 Pro measured
τ²-Bench TelecomNot measured54.1%Only Gemini 2.5 Pro measured
GDPvalNot measured23.3%Only Gemini 2.5 Pro measured
DeepResearch BenchNot measured41.5%Only Gemini 2.5 Pro measured
Vending-Bench 2Not measured$574Only Gemini 2.5 Pro measured
Neither model has a result on the other 34 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
Reasoning benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
GPQA Diamond (Artificial Analysis run)Not measured84.4%Only Gemini 2.5 Pro measured
Humanity's Last Exam (Artificial Analysis run)Not measured22.5%Only Gemini 2.5 Pro measured
GPQA Diamond (Epoch AI run)Not measured85.3%Only Gemini 2.5 Pro measured
ARC-AGINot measured41.0%Only Gemini 2.5 Pro measured
ARC-AGI-2Not measured4.9%Only Gemini 2.5 Pro measured
LMArena Text: hard promptsNot measured1455Only Gemini 2.5 Pro measured
LMArena Text: expertNot measured1452Only Gemini 2.5 Pro measured
LMArena Text: hard prompts in EnglishNot measured1453Only Gemini 2.5 Pro measured
LMArena Vision: diagramsNot measured1274Only Gemini 2.5 Pro measured
LMArena Vision: homeworkNot measured1281Only Gemini 2.5 Pro measured
Neither model has a result on the other 11 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Math benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
AA Math IndexNot measured87.7Only Gemini 2.5 Pro measured
AIME 2025 (Artificial Analysis run)Not measured87.7%Only Gemini 2.5 Pro measured
OTIS Mock AIMENot measured84.7%Only Gemini 2.5 Pro measured
FrontierMath, tiers 1 to 3Not measured24.6%Only Gemini 2.5 Pro measured
FrontierMath, tier 4Not measured0.0%Only Gemini 2.5 Pro measured
LMArena Text: mathNot measured1450Only Gemini 2.5 Pro measured
LMArena Text: mathematical workNot measured1454Only Gemini 2.5 Pro measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Knowledge benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
CaseLaw (Vals AI)Not measured63.9%Only Gemini 2.5 Pro measured
CorpFin (Vals AI)Not measured60.8%Only Gemini 2.5 Pro measured
MortgageTax (Vals AI)Not measured68.9%Only Gemini 2.5 Pro measured
MedCode (Vals AI)Not measured50.6%Only Gemini 2.5 Pro measured
MMLU Pro (Artificial Analysis run)Not measured86.2%Only Gemini 2.5 Pro measured
LMArena Text: scienceNot measured1480Only Gemini 2.5 Pro measured
LMArena Text: medicine and healthcareNot measured1476Only Gemini 2.5 Pro measured
LMArena Text: legal and governmentNot measured1480Only Gemini 2.5 Pro measured
LMArena Text: business and financeNot measured1439Only Gemini 2.5 Pro measured
Neither model has a result on the other 8 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Web design benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
Design Arena: websitesNot measured1167Only Gemini 2.5 Pro measured
Design Arena: UI componentsNot measured1140Only Gemini 2.5 Pro measured
Design Arena: game devNot measured1111Only Gemini 2.5 Pro measured
Design Arena: data vizNot measured1221Only Gemini 2.5 Pro measured
Design Arena: 3DNot measured1081Only Gemini 2.5 Pro measured
Design Arena: all code categoriesNot measured1152Only Gemini 2.5 Pro measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards measured
General benchmarks for Seed-2.0-Code and Gemini 2.5 Pro
BenchmarkSeed-2.0-CodeGemini 2.5 ProLeader
SAGE (Vals AI)Not measured41.9%Only Gemini 2.5 Pro measured
MedScribe (Vals AI)Not measured73.5%Only Gemini 2.5 Pro measured
IFBenchNot measured48.7%Only Gemini 2.5 Pro measured
Long context reasoning (AA-LCR)Not measured69.0%Only Gemini 2.5 Pro measured
DTBenchNot measured82.4%Only Gemini 2.5 Pro measured
LMCANot measured34.8%Only Gemini 2.5 Pro measured
Creative writing (Lech Mazur)Not measured83.8%Only Gemini 2.5 Pro measured
LMArena TextNot measured1458Only Gemini 2.5 Pro measured
LMArena Text: instruction followingNot measured1437Only Gemini 2.5 Pro measured
LMArena Text: creative writingNot measured1454Only Gemini 2.5 Pro measured
LMArena VisionNot measured1263Only Gemini 2.5 Pro measured
LMArena Text: EnglishNot measured1458Only Gemini 2.5 Pro measured
LMArena Text: non-EnglishNot measured1452Only Gemini 2.5 Pro measured
LMArena Text: ChineseNot measured1507Only Gemini 2.5 Pro measured
LMArena Text: GermanNot measured1487Only Gemini 2.5 Pro measured
LMArena Text: JapaneseNot measured1461Only Gemini 2.5 Pro measured
LMArena Text: KoreanNot measured1434Only Gemini 2.5 Pro measured
LMArena Text: FrenchNot measured1473Only Gemini 2.5 Pro measured
LMArena Text: SpanishNot measured1474Only Gemini 2.5 Pro measured
LMArena Text: RussianNot measured1461Only Gemini 2.5 Pro measured
LMArena Text: PolishNot measured1479Only Gemini 2.5 Pro measured
LMArena Text: multi-turnNot measured1453Only Gemini 2.5 Pro measured
LMArena Text: longer queriesNot measured1449Only Gemini 2.5 Pro measured
LMArena Text: writing and languageNot measured1454Only Gemini 2.5 Pro measured
LMArena Text: entertainment and mediaNot measured1441Only Gemini 2.5 Pro measured
LMArena Vision: EnglishNot measured1261Only Gemini 2.5 Pro measured
LMArena Vision: ChineseNot measured1300Only Gemini 2.5 Pro measured
LMArena Vision: reading textNot measured1270Only Gemini 2.5 Pro measured
LMArena Vision: humorNot measured1262Only Gemini 2.5 Pro measured
LMArena Vision: captioningNot measured1304Only Gemini 2.5 Pro measured
LMArena Vision: recognizing thingsNot measured1283Only Gemini 2.5 Pro measured
LMArena Vision: creative writingNot measured1265Only Gemini 2.5 Pro measured
LMArena DocumentNot measured1421Only Gemini 2.5 Pro 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 2.5 Pro$0.0063Fits 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 2.5 Pro$0.092Fits 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 2.5 Pro$0.350Fits 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 2.5 Pro
SpecificationByteDance Seed Seed-2.0-CodeGoogle Gemini 2.5 Pro
MakerByteDance SeedGoogle
WeightsNo public weights listedNo public weights listed
ReleasedAugust 12, 2026June 17, 2025
Context window262K1.05M
Input $/Mtok$0.50$1.25
Output $/Mtok$3.00$10.00
Coding indexNot benchmarked19.1
Independent measurements behind it03
Cost per solved taskNot computable$0.64
SourceOpenRouter listingOpenRouter listing

Questions

Is Seed-2.0-Code better than Gemini 2.5 Pro for coding?

Only Gemini 2.5 Pro has a coding score, 19.1 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 3.3x cheaper ($3.00 vs $10.00 per million).

Which is cheaper, Seed-2.0-Code or Gemini 2.5 Pro?

Seed-2.0-Code costs $0.50 per million input tokens and $3.00 per million output tokens; Gemini 2.5 Pro costs $1.25 and $10.00. Cost per solved task is known for Gemini 2.5 Pro only.

Which has the bigger context window, Seed-2.0-Code or Gemini 2.5 Pro?

Gemini 2.5 Pro, with 1.05M tokens against 262K.

Has any benchmark tested both Seed-2.0-Code and Gemini 2.5 Pro?

No benchmark has tested both yet. Seed-2.0-Code has none yet; Gemini 2.5 Pro on SWE-bench Verified, LMArena WebDev and AA Coding Index. Compare them on price and context instead. Data as of October 21, 2026.

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