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ModelScale

Seed 2.1 Pro

ByteDance · Proprietary · bench-align-v5

Canonical idseed-2-1-pro
Overall scoreUnavailable
Context window256K tokens
Release date2026-06-24
Access typeProprietary
Blended $/1MUnavailable75% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

AgenticUnavailable
CodingUnavailable
KnowledgeUnavailable
ReasoningUnavailable
Multimodal & GroundedUnavailable
Instruction FollowingUnavailable
MathUnavailable

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: ObservedUnavailable

Runtime measurements
MeasurementValueObservedLast goodEvidence
Time to first tokenUnavailableUnavailableUnavailable
ThroughputUnavailableUnavailableUnavailable

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
ComponentUSDEvidence
Input / 1M tokensUnavailable
Output / 1M tokensUnavailable
Cache read / 1M tokensUnavailable
Cache write / 1M tokensUnavailable
Blended / 1M (75% input / 25% output)Unavailable
Self-hosted listingVolcengine publishes first-party CNY pricing for doubao-seed-2.1-pro only: ¥6 input, ¥30 output, and ¥1.2 cache-hit per million tokens (about $0.83 / $4.14 at mid-2026 rates). BenchLM leaves the USD fields unavailable because it does not convert a non-USD first-party price.No hosted token rate was published for this model, so its per-token price is unavailable rather than zero.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly costUnavailableThe applicable input rate is unavailable.
Modelled tokensUnavailable
Open the simulatorChange this workload

Benchmark record

11 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
BenchmarkValueTasksDifficultyProvenance
SuperGPQA
SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines
70.8285 disciplinesGraduate levelSuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines

Coding

Coding benchmarks
BenchmarkValueTasksDifficultyProvenance
Terminal-Bench 2.1
Terminal-Bench 2.1 (provider run)
71.0Terminal-based software-agent tasksProfessional software engineeringDeepSeek V4 Flash 0731 update
NL2Repo
NL2Repo
47Natural language to repository tasksSystem-level software comprehensionMiniMax M2.7: Early Echoes of Self-Evolution

Agentic

Agentic benchmarks
BenchmarkValueTasksDifficultyProvenance
Terminal-Bench 2.1
Terminal-Bench 2.1 (provider run)
71.0Terminal-based software-agent tasksProfessional software engineeringDeepSeek V4 Flash 0731 update

Multimodal & Grounded

Multimodal & Grounded benchmarks
BenchmarkValueTasksDifficultyProvenance
MMMU-Pro
Massive Multi-discipline Multimodal Understanding Pro
81.6Multimodal academic reasoningFrontier multimodalMMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark
Video-MME
Video-MME
89.2Video understandingBroad multimodal video reasoningVideo-MME benchmark
MathVision
MathVision
92.6Visually grounded math problemsAdvanced multimodal mathematicsQwen3.6 launch benchmarks
ERQA
ERQA
72.0Evidence-based visual QAGrounded multimodal reasoningQwen3.6 launch benchmarks
ZeroBench
ZeroBench
18.0100 visual reasoning questionsTool-augmented visual reasoningMuse Spark Eval Methodology
CharXiv
CharXiv Reasoning
85.4Scientific chart reasoningScientific visualization reasoningCharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
BabyVision
BabyVision
73.7Visual perception tasksFine-grained visual perceptionMuse Spark 1.1 Evaluation Report

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.