Skip to main content
Radar

Keep up with the models you depend on. Follow price changes, retirements, and API updates.Follow the models you depend on.

Follow model changes
Alibaba logo
Model A
Qwen3.8-Flash-Next

Alibaba

56.84/100

Estimated · Public rank #84

90% interval 45.368.3

Qwen3.8-Flash-Next vs Seed 2.1 Turbo

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

ByteDance logo
Model B
Seed 2.1 Turbo

ByteDance

Evidence status unavailable

90% interval unavailable

Decision reading

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Share or export

Share on XLinkedInSocial cardCSVJSON

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

    Qwen3.8-Flash-Next

    Qwen3.8-Flash-Next 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

    Seed 2.1 Turbo is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    Seed 2.1 Turbo is not ranked on the public lane for agentic, so no winner is named for agentic.

    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: listed-rates

  • 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
4
Qwen3.8-Flash-Next only
20
Seed 2.1 Turbo only
7
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable
Qwen3.8-Flash-Next
58.5
Estimated · #27/152
Seed 2.1 Turbo
Not ranked
Basis
BenchAlign lane · 6 vs 1 public rows
Reading
Not comparable

Coding

Not comparable
Qwen3.8-Flash-Next
57.9
Supported · #30/151
Seed 2.1 Turbo
Not ranked
Basis
BenchAlign lane · 5 vs 2 public rows
Reading
Not comparable

Reasoning

Not comparable
Qwen3.8-Flash-Next
75.8
Unranked · 2 rankable rows
Seed 2.1 Turbo
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Qwen3.8-Flash-Next
55.5
Supported · #53/183
Seed 2.1 Turbo
Not ranked
Basis
BenchAlign lane · 4 vs 1 public rows
Reading
Not comparable

Math

Not comparable
Qwen3.8-Flash-Next
Not ranked
Seed 2.1 Turbo
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Qwen3.8-Flash-Next
Not ranked
Seed 2.1 Turbo
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Qwen3.8-Flash-Next
83.3
#7/48
Seed 2.1 Turbo
Not ranked
Basis
Provisional lane · 1 vs 2 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Qwen3.8-Flash-Next
88.0
#32/123
Seed 2.1 Turbo
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

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.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

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

Qwen3.8-Flash-Next
Self-hosted; infrastructure cost varies
Fits in one request
Seed 2.1 Turbo
API rate not published
Fits in one request

Qwen3.8-Flash-Next has no comparable published API token rate. Seed 2.1 Turbo has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Qwen3.8-Flash-Next
Self-hosted; infrastructure cost varies
Fits in one request
Seed 2.1 Turbo
API rate not published
Fits in one request

Qwen3.8-Flash-Next has no comparable published API token rate. Seed 2.1 Turbo has no comparable published API token rate.

Cache-heavy agent loop

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

Qwen3.8-Flash-Next
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Seed 2.1 Turbo
API rate not published
Fits in one request
Cached-input rate unavailable

Qwen3.8-Flash-Next has no comparable published API token rate. Seed 2.1 Turbo 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.

Documented inputs

Qwen3.8-Flash-Next

Not sourced

Seed 2.1 Turbo

Not sourced

Documented outputs

Qwen3.8-Flash-Next

Not sourced

Seed 2.1 Turbo

Not sourced

Provider availability

Qwen3.8-Flash-Next

Not sourced

Seed 2.1 Turbo

Not sourced

Reasoning profile

Qwen3.8-Flash-Next

Reasoning

Seed 2.1 Turbo

Reasoning

Weight access

Qwen3.8-Flash-Next

Open Weight

Seed 2.1 Turbo

Proprietary

License

Qwen3.8-Flash-Next

Open Weight

Seed 2.1 Turbo

Proprietary

Release date

Qwen3.8-Flash-Next

2026-08-26

Seed 2.1 Turbo

2026-06-24

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
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Qwen3.8-Flash-Next has the larger documented window (262K).

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 evidence31 rows

Agentic

  • CoWorkBench

    Qwen3.8-Flash-Next73.9%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • JobBench

    Qwen3.8-Flash-Next55.7%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • Agents' Last Exam

    Qwen3.8-Flash-Next51.2%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • Toolathlon-Verified

    Qwen3.8-Flash-Next73.5%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • AndroidWorld

    Qwen3.8-Flash-Next84.5%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • OSWorld 2.0

    Qwen3.8-Flash-Next19.4%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • Terminal-Bench 2.1

    Qwen3.8-Flash-Next
    Seed 2.1 Turbo67.6%
    Source

    Not directly comparable

Coding

  • SWE-bench Pro

    Qwen3.8-Flash-Next62.5%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • SWE Multilingual

    Qwen3.8-Flash-Next81%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • NL2Repo

    Qwen3.8-Flash-Next48.1%
    Source
    Seed 2.1 Turbo43.7%
    Source

    Qwen3.8-Flash-Next leads this result

  • DeepSWE

    Qwen3.8-Flash-Next58.7%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • LiveCodeBench v6

    Qwen3.8-Flash-Next91.9%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • Terminal-Bench 2.1

    Qwen3.8-Flash-Next
    Seed 2.1 Turbo67.6%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Qwen3.8-Flash-Next91.7%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • GPQA-D

    Qwen3.8-Flash-Next91.7%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • HLE

    Qwen3.8-Flash-Next35.9%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • HLE w/o tools

    Qwen3.8-Flash-Next35.9%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • SuperGPQA

    Qwen3.8-Flash-Next
    Seed 2.1 Turbo67.4%
    Source

    Not directly comparable

Multimodal

  • Vision2Web

    Qwen3.8-Flash-Next64.0%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • ERQA

    Qwen3.8-Flash-Next72.3%
    Source
    Seed 2.1 Turbo71.3%
    Source

    Qwen3.8-Flash-Next leads this result

  • LVBench

    Qwen3.8-Flash-Next76.6%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • RealWorldQA

    Qwen3.8-Flash-Next88.5%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • MathVision

    Qwen3.8-Flash-Next90.6%
    Source
    Seed 2.1 Turbo90.1%
    Source

    Qwen3.8-Flash-Next leads this result

  • MathVision w/ Python

    Qwen3.8-Flash-Next95.7%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • CharXiv w/o tools

    Qwen3.8-Flash-Next84.6%
    Source
    Seed 2.1 Turbo

    Not directly comparable

  • CharXiv

    Qwen3.8-Flash-Next90.6%
    Source
    Seed 2.1 Turbo82.5%
    Source

    Qwen3.8-Flash-Next leads this result

  • MMMU-Pro

    Qwen3.8-Flash-Next
    Seed 2.1 Turbo80.1%
    Source

    Not directly comparable

  • ZeroBench

    Qwen3.8-Flash-Next
    Seed 2.1 Turbo11.0%
    Source

    Not directly comparable

  • BabyVision

    Qwen3.8-Flash-Next
    Seed 2.1 Turbo62.9%
    Source

    Not directly comparable

  • Video-MME

    Qwen3.8-Flash-Next
    Seed 2.1 Turbo89.0%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Qwen3.8-Flash-Next81.3%
    Source
    Seed 2.1 Turbo

    Not directly comparable

Frequently asked questions

Which is better, Qwen3.8-Flash-Next or Seed 2.1 Turbo?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Qwen3.8-Flash-Next or Seed 2.1 Turbo?

Seed 2.1 Turbo is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Qwen3.8-Flash-Next or Seed 2.1 Turbo?

Seed 2.1 Turbo is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Qwen3.8-Flash-Next or Seed 2.1 Turbo?

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, Qwen3.8-Flash-Next or Seed 2.1 Turbo?

Qwen3.8-Flash-Next has the larger documented context window: 262K, compared with 256K.

Related comparisons

Last updated September 10, 2026

Watch Qwen3.8-Flash-Next vs Seed 2.1 Turbo

One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.

Read a sample issue

Join 2,000+ readers.