Model comparison

Qwen3.6 Plus vs ZAYA1-8B

Updated August 5, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Qwen3.6 Plus

Alibaba

64.6/100

Supported · Public rank #34

90% interval 55.9–73.3

ZAYA1-8B

Zyphra

31.6/100

Estimated · Public rank #201

90% interval 21.7–41.5

Qwen3.6 Plus has the higher public score, 64.59 versus 31.58, and the 90% score intervals do not overlap.

7 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
Qwen3.6 Plus
Qwen3.6 Plus 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
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. ZAYA1-8B does not fit this workload in one request. Qwen3.6 Plus has no comparable published API token rate. ZAYA1-8B has no comparable published API token rate.
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.

36 Qwen3.6 Plus only

7 Shared

4 ZAYA1-8B only

Shared results: 7
Qwen3.6 Plus only: 36
ZAYA1-8B only: 4
Like-for-like categories: 1 / 8

2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.

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.

Instruction following

Like-for-like

Qwen3.6 Plus: 82.3
ZAYA1-8B: 64.1
Weighted basis: 2 vs 2 rows
Reading: Qwen3.6 Plus leads

Knowledge

Directional only

Qwen3.6 Plus: 57.1
ZAYA1-8B: 73.6
Weighted basis: 4 vs 2 rows
Reading: Directional only

Math

Directional only

Qwen3.6 Plus: 60.5
ZAYA1-8B: 80.4
Weighted basis: 4 vs 2 rows
Reading: Directional only

Agentic

Not comparable

Qwen3.6 Plus: 61.6
ZAYA1-8B: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Coding

Not comparable

Qwen3.6 Plus: 70.3
ZAYA1-8B: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Reasoning

Not comparable

Qwen3.6 Plus: 62.0
ZAYA1-8B: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Multilingual

Not comparable

Qwen3.6 Plus: 84.7
ZAYA1-8B: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Multimodal

Not comparable

Qwen3.6 Plus: 79.8
ZAYA1-8B: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for Qwen3.6 Plus and ZAYA1-8B
Category	Qwen3.6 Plus	ZAYA1-8B	Weighted basis	Reading
Instruction following	82.3	64.1	Like-for-like2 vs 2 rows	Qwen3.6 Plus leads
Knowledge	57.1	73.6	Directional only4 vs 2 rows	Directional only
Math	60.5	80.4	Directional only4 vs 2 rows	Directional only
Agentic	61.6	Not measured	Not comparable1 vs 0 rows	Not comparable
Coding	70.3	Not measured	Not comparable2 vs 0 rows	Not comparable
Reasoning	62.0	Not measured	Not comparable1 vs 0 rows	Not comparable
Multilingual	84.7	Not measured	Not comparable1 vs 0 rows	Not comparable
Multimodal	79.8	Not measured	Not comparable2 vs 0 rows	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.

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.

IFBench
Instruction following
Qwen3.6 Plus: 75.8%ZAYA1-8B: 52.6%Normalized gap 23.2Qwen3.6 Plus source ZAYA1-8B source
GPQA
Knowledge
Qwen3.6 Plus: 90.4%ZAYA1-8B: 71%Normalized gap 19.4Qwen3.6 Plus source ZAYA1-8B source
HMMT Feb 2026
Math
Qwen3.6 Plus: 87.8%ZAYA1-8B: 71.6%Normalized gap 16.2Qwen3.6 Plus source ZAYA1-8B source
MMLU-Pro
Knowledge
Qwen3.6 Plus: 88.5%ZAYA1-8B: 74.2%Normalized gap 14.3Qwen3.6 Plus source ZAYA1-8B source
IFEval
Instruction following
Qwen3.6 Plus: 94.3%ZAYA1-8B: 85.6%Normalized gap 8.7Qwen3.6 Plus source ZAYA1-8B source

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

Qwen3.6 Plus: API rate not published; Fits in one request
ZAYA1-8B: Self-hosted; infrastructure cost varies; Fits in one request

Qwen3.6 Plus has no comparable published API token rate. ZAYA1-8B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Qwen3.6 Plus: API rate not published; Fits in one request
ZAYA1-8B: Self-hosted; infrastructure cost varies; Fits in one request

Qwen3.6 Plus has no comparable published API token rate. ZAYA1-8B has no comparable published API token rate.

Cache-heavy agent loop

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

Qwen3.6 Plus: API rate not published; Fits in one request; Cached-input rate unavailable
ZAYA1-8B: Self-hosted; infrastructure cost varies; Does not fit in one request; Cached-input rate unavailable

ZAYA1-8B does not fit this workload in one request. Qwen3.6 Plus has no comparable published API token rate. ZAYA1-8B 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.

SpecificationQwen3.6 PlusZAYA1-8B

Context window

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

Qwen3.6 Plus

ZAYA1-8B

131K

API model ID

Qwen3.6 Plus

Not sourced

ZAYA1-8B

Not sourced

Cached-input rate

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

Qwen3.6 Plus

No comparable hosted API rate

ZAYA1-8B

No comparable hosted API rate

Documented inputs

Qwen3.6 Plus

Not sourced

ZAYA1-8B

Not sourced

Documented outputs

Qwen3.6 Plus

Not sourced

ZAYA1-8B

Not sourced

Provider availability

Qwen3.6 Plus

Not sourced

ZAYA1-8B

Not sourced

Reasoning profile

Qwen3.6 Plus

Reasoning

ZAYA1-8B

Reasoning

Weight access

Qwen3.6 Plus

Proprietary

ZAYA1-8B

Open Weight

License

Qwen3.6 Plus

Proprietary

ZAYA1-8B

Open Weight

Release date

Qwen3.6 Plus

2026-04-02

ZAYA1-8B

2026-05-05

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: Qwen3.6 Plus has the higher public score, 64.59 versus 31.58, and the 90% score intervals do not overlap.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Qwen3.6 Plus 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 evidence47 rows

Agentic

Terminal-Bench 2.0
Qwen3.6 Plus61.6%
Source
ZAYA1-8B—
Not directly comparable
Claw-Eval
Qwen3.6 Plus58.8%
Source
ZAYA1-8B—
Not directly comparable
QwenClawBench
Qwen3.6 Plus57.2%
Source
ZAYA1-8B—
Not directly comparable
τ³-bench results
Qwen3.6 Plus70.7%
Source
ZAYA1-8B—
Not directly comparable
VITA-Bench
Qwen3.6 Plus44.3%
Source
ZAYA1-8B—
Not directly comparable
DeepPlanning
Qwen3.6 Plus41.5%
Source
ZAYA1-8B—
Not directly comparable
Toolathlon
Qwen3.6 Plus39.8%
Source
ZAYA1-8B—
Not directly comparable
MCP Atlas
Qwen3.6 Plus48.2%
Source
ZAYA1-8B—
Not directly comparable
MCP-Tasks
Qwen3.6 Plus74.1%
Source
ZAYA1-8B—
Not directly comparable
WideResearch
Qwen3.6 Plus74.3%
Source
ZAYA1-8B—
Not directly comparable
Gert Labs
Qwen3.6 Plus50.60%
Source
ZAYA1-8B—
Not directly comparable
ResearchClawBench
Qwen3.6 Plus18.0%
Source
ZAYA1-8B—
Not directly comparable
BFCL v4
Qwen3.6 Plus—
ZAYA1-8B39.2%
Source
Not directly comparable

Coding

SWE-bench Verified
Qwen3.6 Plus78.8%
Source
ZAYA1-8B—
Not directly comparable
SWE-bench Pro
Qwen3.6 Plus56.6%
Source
ZAYA1-8B—
Not directly comparable
SWE Multilingual
Qwen3.6 Plus73.8%
Source
ZAYA1-8B—
Not directly comparable
LiveCodeBench v6
Qwen3.6 Plus87.1%
Source
ZAYA1-8B65.8%
Source
Qwen3.6 Plus leads this result
Vibe Code Bench
Qwen3.6 Plus25.56%
Source
ZAYA1-8B—
Not directly comparable

Reasoning

AI-Needle
Qwen3.6 Plus68.3%
Source
ZAYA1-8B—
Not directly comparable
LongBench v2
Qwen3.6 Plus62%
Source
ZAYA1-8B—
Not directly comparable

Knowledge

GPQA
Qwen3.6 Plus90.4%
Source
ZAYA1-8B71%
Source
Qwen3.6 Plus leads this result
SuperGPQA
Qwen3.6 Plus71.6%
Source
ZAYA1-8B—
Not directly comparable
MMLU-Pro
Qwen3.6 Plus88.5%
Source
ZAYA1-8B74.2%
Source
Qwen3.6 Plus leads this result
MMLU-Redux
Qwen3.6 Plus94.5%
Source
ZAYA1-8B—
Not directly comparable
C-Eval
Qwen3.6 Plus93.3%
Source
ZAYA1-8B—
Not directly comparable
HLE
Qwen3.6 Plus28.8%
Source
ZAYA1-8B—
Not directly comparable
GPQA-D
Qwen3.6 Plus—
ZAYA1-8B71.0%
Source
Not directly comparable

Math

AIME26
Qwen3.6 Plus95.3%
Source
ZAYA1-8B89.1%
Source
Qwen3.6 Plus leads this result
HMMT Feb 2025
Qwen3.6 Plus96.7%
Source
ZAYA1-8B—
Not directly comparable
HMMT Nov 2025
Qwen3.6 Plus94.6%
Source
ZAYA1-8B—
Not directly comparable
HMMT Feb 2026
Qwen3.6 Plus87.8%
Source
ZAYA1-8B71.6%
Source
Qwen3.6 Plus leads this result
MMAnswerBench
Qwen3.6 Plus83.8%
Source
ZAYA1-8B—
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Qwen3.6 Plus26.207%
Source
ZAYA1-8B—
Not directly comparable
FrontierMath v2 (Tier 4)
Qwen3.6 Plus8.333%
Source
ZAYA1-8B—
Not directly comparable
IMOAnswerBench
Qwen3.6 Plus—
ZAYA1-8B59.3%
Source
Not directly comparable
Apex
Qwen3.6 Plus—
ZAYA1-8B32.2%
Source
Not directly comparable

Multilingual

MMLU-ProX
Qwen3.6 Plus84.7%
Source
ZAYA1-8B—
Not directly comparable
NOVA-63
Qwen3.6 Plus57.9%
Source
ZAYA1-8B—
Not directly comparable

Multimodal

MMMU
Qwen3.6 Plus86.0%
Source
ZAYA1-8B—
Not directly comparable
MMMU-Pro
Qwen3.6 Plus78.8%
Source
ZAYA1-8B—
Not directly comparable
MathVision
Qwen3.6 Plus88.0%
Source
ZAYA1-8B—
Not directly comparable
VideoMMMU
Qwen3.6 Plus84.0%
Source
ZAYA1-8B—
Not directly comparable
ScreenSpot Pro
Qwen3.6 Plus68.2%
Source
ZAYA1-8B—
Not directly comparable
CharXiv
Qwen3.6 Plus81.5%
Source
ZAYA1-8B—
Not directly comparable
V*
Qwen3.6 Plus96.9%
Source
ZAYA1-8B—
Not directly comparable

Instruction following

IFEval
Qwen3.6 Plus94.3%
Source
ZAYA1-8B85.6%
Source
Qwen3.6 Plus leads this result
IFBench
Qwen3.6 Plus75.8%
Source
ZAYA1-8B52.6%
Source
Qwen3.6 Plus leads this result

Frequently asked questions

Which is better, Qwen3.6 Plus or ZAYA1-8B?

Qwen3.6 Plus has the higher public score, 64.59 versus 31.58, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Qwen3.6 Plus or ZAYA1-8B?

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, Qwen3.6 Plus or ZAYA1-8B?

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, Qwen3.6 Plus or ZAYA1-8B?

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, Qwen3.6 Plus or ZAYA1-8B?

Qwen3.6 Plus has the larger documented context window: 1M, compared with 131K.

Related comparisons

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Last updated August 5, 2026

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Qwen3.6 Plus vs ZAYA1-8B

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

What is actually comparable

Category results, on a stated basis

Instruction following

Knowledge

Math

Agentic

Coding

Reasoning

Multilingual

Multimodal

Shape of the matched evidence

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Math

Multilingual

Multimodal

Instruction following

Frequently asked questions

Which is better, Qwen3.6 Plus or ZAYA1-8B?

Which is better for coding, Qwen3.6 Plus or ZAYA1-8B?

Which is better for agentic tasks, Qwen3.6 Plus or ZAYA1-8B?

Which costs less, Qwen3.6 Plus or ZAYA1-8B?

Which has the larger context window, Qwen3.6 Plus or ZAYA1-8B?

Related comparisons

Watch Qwen3.6 Plus vs ZAYA1-8B