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Model comparison

Claude Opus 4.6 vs Seed-2.0-Mini

Updated July 28, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Claude Opus 4.6

Anthropic

67.8/100

Supported · Public rank #20

90% interval 54.9–80.7

Seed-2.0-Mini

ByteDance

—

Evidence status unavailable

90% interval unavailable

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.

0 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Claude Opus 4.6

    Claude Opus 4.6 has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: rate-fallback

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
0
Claude Opus 4.6 only
33
Seed-2.0-Mini only
0
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Not comparable
Claude Opus 4.6
73.0
Seed-2.0-Mini
Not measured
Weighted basis
3 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Claude Opus 4.6
68.1
Seed-2.0-Mini
Not measured
Weighted basis
3 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Claude Opus 4.6
Not measured
Seed-2.0-Mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Claude Opus 4.6
69.1
Seed-2.0-Mini
Not measured
Weighted basis
4 vs 0 rows
Reading
Not comparable

Math

Not comparable
Claude Opus 4.6
36.3
Seed-2.0-Mini
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Claude Opus 4.6
Not measured
Seed-2.0-Mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude Opus 4.6
77.3
Seed-2.0-Mini
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Claude Opus 4.6
Not measured
Seed-2.0-Mini
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Claude Opus 4.6
$0.0175
Fits in one request
Seed-2.0-Mini
API rate not published
Fits in one request

Seed-2.0-Mini has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude Opus 4.6
$0.325
Fits in one request
Seed-2.0-Mini
API rate not published
Fits in one request

Seed-2.0-Mini has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Claude Opus 4.6
$1.35
Fits in one request
Cached input priced at the published list-input rate
Seed-2.0-Mini
API rate not published
Fits in one request
Cached-input rate unavailable

Claude Opus 4.6 has no published cached-input rate, so cached tokens use its listed input rate. Seed-2.0-Mini has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Claude Opus 4.6

1M

Seed-2.0-Mini

256K

API model ID

Claude Opus 4.6

Not sourced

Seed-2.0-Mini

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Claude Opus 4.6

Not published

Seed-2.0-Mini

No comparable hosted API rate

Documented inputs

Claude Opus 4.6

Not sourced

Seed-2.0-Mini

Not sourced

Documented outputs

Claude Opus 4.6

Not sourced

Seed-2.0-Mini

Not sourced

Provider availability

Claude Opus 4.6

Not sourced

Seed-2.0-Mini

Not sourced

Reasoning profile

Claude Opus 4.6

Non-Reasoning

Seed-2.0-Mini

Non-Reasoning

Weight access

Claude Opus 4.6

Proprietary

Seed-2.0-Mini

Proprietary

License

Claude Opus 4.6

Proprietary

Seed-2.0-Mini

Proprietary

Release date

Claude Opus 4.6

2026-02-01

Seed-2.0-Mini

2026-03-10

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Claude Opus 4.6 has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence33 rows

Agentic

  • Terminal-Bench 2.0

    Claude Opus 4.665.4%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • BrowseComp

    Claude Opus 4.683.7%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • OSWorld-Verified

    Claude Opus 4.672.7%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • Claw-Eval

    Claude Opus 4.670.4%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • DeepSearchQA

    Claude Opus 4.673.7%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • CyberGym

    Claude Opus 4.666.6%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • Gert Labs

    Claude Opus 4.661.85%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • ResearchClawBench

    Claude Opus 4.619.9%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • JobBench

    Claude Opus 4.636.7%
    Source
    Seed-2.0-Mini—

    Not directly comparable

Coding

  • SWE-bench Verified

    Claude Opus 4.680.8%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • SWE-bench Verified*

    Claude Opus 4.675.6%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • LiveCodeBench Pro

    Claude Opus 4.670.7%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • SWE-bench Pro

    Claude Opus 4.653.4%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • SWE-Rebench

    Claude Opus 4.665.3%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • React Native Evals

    Claude Opus 4.684.1%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • Vibe Code Bench

    Claude Opus 4.657.57%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • FrontierCode 1.1 Main

    Claude Opus 4.626.9%
    Source
    Seed-2.0-Mini—

    Not directly comparable

Knowledge

  • GPQA

    Claude Opus 4.691.3%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • GPQA-D

    Claude Opus 4.689.2%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • SuperGPQA

    Claude Opus 4.695%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • MMLU-Pro

    Claude Opus 4.682%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • MMLU-Pro (Arcee)

    Claude Opus 4.689.1%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • HLE

    Claude Opus 4.653%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • HLE w/o tools

    Claude Opus 4.640%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • HealthBench Hard

    Claude Opus 4.614.8%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • MedXpertQA (Text)

    Claude Opus 4.652.1%
    Source
    Seed-2.0-Mini—

    Not directly comparable

Math

  • AIME25 (Arcee)

    Claude Opus 4.699.8%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Claude Opus 4.640.700%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Opus 4.622.900%
    Source
    Seed-2.0-Mini—

    Not directly comparable

Multimodal

  • MMMU-Pro

    Claude Opus 4.677.3%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • ERQA

    Claude Opus 4.651.6%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • ScreenSpot Pro

    Claude Opus 4.683.1%
    Source
    Seed-2.0-Mini—

    Not directly comparable

  • MedXpertQA (MM)

    Claude Opus 4.664.8%
    Source
    Seed-2.0-Mini—

    Not directly comparable

Frequently asked questions

Which is better, Claude Opus 4.6 or Seed-2.0-Mini?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Claude Opus 4.6 or Seed-2.0-Mini?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Claude Opus 4.6 or Seed-2.0-Mini?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Claude Opus 4.6 or Seed-2.0-Mini?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Claude Opus 4.6 or Seed-2.0-Mini?

Claude Opus 4.6 has the larger documented context window: 1M, compared with 256K.

Related comparisons

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Last updated July 28, 2026

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