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Seed-2.0-Code vs Claude Opus 4.5

Seed-2.0-Code costs 8.3x less per output token than Claude Opus 4.5 ($3.00 vs $25.00 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
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
vs $3.00 vs $25.00 per 1M output tokens. Seed-2.0-Code is 8.3x cheaper.

Seed-2.0-Code or Claude Opus 4.5: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 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 8.3x cheaper ($3.00 vs $25.00 per million) and a larger context window (262K against 200K tokens).

No benchmark has tested both yet. Seed-2.0-Code has none yet; Claude Opus 4.5 on SWE-bench Verified, SWE-bench (full test set) and SWE-bench Multilingual. 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, Claude Opus 4.5 44.0 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 Claude Opus 4.5 $25.00 per million output tokens, 8.3x apart.
Context window
Seed-2.0-Code takes 262K tokens, Claude Opus 4.5 200K.

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 Index17 boards measured
Coding benchmarks for Seed-2.0-Code and Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
SWE-bench VerifiedNot measured79.2%Only Claude Opus 4.5 measured
SWE-bench (full test set)Not measured52.6%Only Claude Opus 4.5 measured
SWE-bench MultilingualNot measured70.7%Only Claude Opus 4.5 measured
LMArena WebDevNot measured1494Only Claude Opus 4.5 measured
LiveCodeBench (Vals AI)Not measured83.7%Only Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)Not measured76.4%Only Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)Not measured20.6%Only Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured87.1%Only Claude Opus 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured47.0%Only Claude Opus 4.5 measured
Terminal-BenchNot measured63.1%Only Claude Opus 4.5 measured
GSO-BenchNot measured26.5%Only Claude Opus 4.5 measured
WeirdMLNot measured63.7%Only Claude Opus 4.5 measured
CybenchNot measured82.0%Only Claude Opus 4.5 measured
LMArena Text: codingNot measured1503Only Claude Opus 4.5 measured
LMArena Text: software and ITNot measured1483Only Claude Opus 4.5 measured
LMArena WebDev: ReactNot measured1478Only Claude Opus 4.5 measured
LMArena WebDev: HTMLNot measured1510Only Claude Opus 4.5 measured
Neither model has a result on the other 22 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Seed-2.0-Code and Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
AA Intelligence IndexNot measured29.1Only Claude Opus 4.5 measured
Epoch Capabilities IndexNot measured150.1Only Claude Opus 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards measured
Agentic work benchmarks for Seed-2.0-Code and Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
Design Arena: agents building web appsNot measured1159Only Claude Opus 4.5 measured
Design Arena: agents building full-stack appsNot measured1156Only Claude Opus 4.5 measured
Design Arena: agents building mobile appsNot measured1189Only Claude Opus 4.5 measured
Design Arena: agents building Android appsNot measured1175Only Claude Opus 4.5 measured
τ²-Bench TelecomNot measured89.5%Only Claude Opus 4.5 measured
METR time horizonsNot measured75.0%Only Claude Opus 4.5 measured
Remote Labor IndexNot measured3.8%Only Claude Opus 4.5 measured
GDPvalNot measured45.5%Only Claude Opus 4.5 measured
BALROGNot measured43.5%Only Claude Opus 4.5 measured
DeepResearch BenchNot measured54.8%Only Claude Opus 4.5 measured
OSWorldNot measured66.3%Only Claude Opus 4.5 measured
Vending-Bench 2Not measured$4,967Only Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured77.5%Only Claude Opus 4.5 measured
Neither model has a result on the other 28 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
Reasoning benchmarks for Seed-2.0-Code and Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
GPQA DiamondNot measured85.9%Only Claude Opus 4.5 measured
MMMU Pro (Vals AI)Not measured83.0%Only Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured86.6%Only Claude Opus 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured30.1%Only Claude Opus 4.5 measured
GPQA Diamond (Epoch AI run)Not measured86.0%Only Claude Opus 4.5 measured
ARC-AGINot measured80.0%Only Claude Opus 4.5 measured
ARC-AGI-2Not measured37.6%Only Claude Opus 4.5 measured
SimpleBenchNot measured62.0%Only Claude Opus 4.5 measured
Chess puzzlesNot measured14.0%Only Claude Opus 4.5 measured
Mystery game puzzlesNot measured22.0%Only Claude Opus 4.5 measured
EBR-benchNot measured14.3%Only Claude Opus 4.5 measured
VPCTNot measured40.0%Only Claude Opus 4.5 measured
LMArena Text: hard promptsNot measured1476Only Claude Opus 4.5 measured
LMArena Text: expertNot measured1487Only Claude Opus 4.5 measured
LMArena Text: hard prompts in EnglishNot measured1482Only Claude Opus 4.5 measured
Kagi LLM BenchmarkNot measured80.2%Only Claude Opus 4.5 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
Math benchmarks for Seed-2.0-Code and Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
AIMENot measured95.4%Only Claude Opus 4.5 measured
MGSM (Vals AI)Not measured95.2%Only Claude Opus 4.5 measured
AA Math IndexNot measured91.3Only Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)Not measured91.3%Only Claude Opus 4.5 measured
OTIS Mock AIMENot measured86.1%Only Claude Opus 4.5 measured
FrontierMath, tiers 1 to 3Not measured34.4%Only Claude Opus 4.5 measured
FrontierMath, tier 4Not measured4.9%Only Claude Opus 4.5 measured
ProofBenchNot measured36.0%Only Claude Opus 4.5 measured
LMArena Text: mathNot measured1463Only Claude Opus 4.5 measured
LMArena Text: mathematical workNot measured1468Only Claude Opus 4.5 measured
Neither model has a result on the other 3 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
Knowledge benchmarks for Seed-2.0-Code and Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
MMLU ProNot measured87.3%Only Claude Opus 4.5 measured
LegalBench (Vals AI)Not measured84.6%Only Claude Opus 4.5 measured
CaseLaw (Vals AI)Not measured62.6%Only Claude Opus 4.5 measured
CorpFin (Vals AI)Not measured65.1%Only Claude Opus 4.5 measured
TaxEval (Vals AI)Not measured74.9%Only Claude Opus 4.5 measured
MortgageTax (Vals AI)Not measured68.7%Only Claude Opus 4.5 measured
MedQA (Vals AI)Not measured95.9%Only Claude Opus 4.5 measured
MedCode (Vals AI)Not measured49.2%Only Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured89.5%Only Claude Opus 4.5 measured
SimpleQA VerifiedNot measured45.7%Only Claude Opus 4.5 measured
GeoBenchNot measured75.0%Only Claude Opus 4.5 measured
LMArena Text: scienceNot measured1454Only Claude Opus 4.5 measured
LMArena Text: medicine and healthcareNot measured1444Only Claude Opus 4.5 measured
LMArena Text: legal and governmentNot measured1459Only Claude Opus 4.5 measured
LMArena Text: business and financeNot measured1448Only Claude Opus 4.5 measured
FACTS Benchmark SuiteNot measured43.9%Only Claude Opus 4.5 measured
Neither model has a result on the other 2 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 Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
Design Arena: websitesNot measured1247Only Claude Opus 4.5 measured
Design Arena: UI componentsNot measured1238Only Claude Opus 4.5 measured
Design Arena: game devNot measured1229Only Claude Opus 4.5 measured
Design Arena: data vizNot measured1243Only Claude Opus 4.5 measured
Design Arena: 3DNot measured1214Only Claude Opus 4.5 measured
Design Arena: all code categoriesNot measured1242Only Claude Opus 4.5 measured
Design Arena: SVGNot measured1181Only Claude Opus 4.5 measured
Design Arena: ASCII artNot measured1190Only Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index26 boards measured
General benchmarks for Seed-2.0-Code and Claude Opus 4.5
BenchmarkSeed-2.0-CodeClaude Opus 4.5Leader
SAGE (Vals AI)Not measured52.1%Only Claude Opus 4.5 measured
MedScribe (Vals AI)Not measured85.3%Only Claude Opus 4.5 measured
IFBenchNot measured58.0%Only Claude Opus 4.5 measured
Long context reasoning (AA-LCR)Not measured77.3%Only Claude Opus 4.5 measured
DTBenchNot measured89.9%Only Claude Opus 4.5 measured
LMCANot measured44.5%Only Claude Opus 4.5 measured
CL-benchNot measured21.1%Only Claude Opus 4.5 measured
Furniture assemblyNot measured28.3%Only Claude Opus 4.5 measured
LMArena TextNot measured1451Only Claude Opus 4.5 measured
LMArena Text: instruction followingNot measured1478Only Claude Opus 4.5 measured
LMArena Text: creative writingNot measured1445Only Claude Opus 4.5 measured
LMArena Text: EnglishNot measured1461Only Claude Opus 4.5 measured
LMArena Text: non-EnglishNot measured1438Only Claude Opus 4.5 measured
LMArena Text: ChineseNot measured1470Only Claude Opus 4.5 measured
LMArena Text: GermanNot measured1449Only Claude Opus 4.5 measured
LMArena Text: JapaneseNot measured1417Only Claude Opus 4.5 measured
LMArena Text: KoreanNot measured1424Only Claude Opus 4.5 measured
LMArena Text: FrenchNot measured1471Only Claude Opus 4.5 measured
LMArena Text: SpanishNot measured1457Only Claude Opus 4.5 measured
LMArena Text: RussianNot measured1447Only Claude Opus 4.5 measured
LMArena Text: PolishNot measured1439Only Claude Opus 4.5 measured
LMArena Text: multi-turnNot measured1466Only Claude Opus 4.5 measured
LMArena Text: longer queriesNot measured1479Only Claude Opus 4.5 measured
LMArena Text: writing and languageNot measured1452Only Claude Opus 4.5 measured
LMArena Text: entertainment and mediaNot measured1434Only Claude Opus 4.5 measured
LMArena DocumentNot measured1462Only Claude Opus 4.5 measured
Neither model has a result on the other 20 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
Claude Opus 4.5$0.018Fits 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
Claude Opus 4.5$0.325Fits 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
Claude Opus 4.5$1.25Exceeds the context window

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 Claude Opus 4.5
SpecificationByteDance Seed Seed-2.0-CodeAnthropic Claude Opus 4.5
MakerByteDance SeedAnthropic
WeightsNo public weights listedNo public weights listed
ReleasedAugust 12, 2026November 24, 2025
Context window262K200K
Input $/Mtok$0.50$5.00
Output $/Mtok$3.00$25.00
Coding indexNot benchmarked44.0
Independent measurements behind it03
Cost per solved taskNot computable$1.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Seed-2.0-Code better than Claude Opus 4.5 for coding?

Only Claude Opus 4.5 has a coding score, 44.0 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 8.3x cheaper ($3.00 vs $25.00 per million) and a larger context window (262K against 200K tokens).

Which is cheaper, Seed-2.0-Code or Claude Opus 4.5?

Seed-2.0-Code costs $0.50 per million input tokens and $3.00 per million output tokens; Claude Opus 4.5 costs $5.00 and $25.00. Cost per solved task is known for Claude Opus 4.5 only.

Which has the bigger context window, Seed-2.0-Code or Claude Opus 4.5?

Seed-2.0-Code, with 262K tokens against 200K.

Has any benchmark tested both Seed-2.0-Code and Claude Opus 4.5?

No benchmark has tested both yet. Seed-2.0-Code has none yet; Claude Opus 4.5 on SWE-bench Verified, SWE-bench (full test set) and SWE-bench Multilingual. Compare them on price and context instead. Data as of October 21, 2026.

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