Math
Like-for-like- Qwen3.6-27B
- 89.2
- ZAYA1-8B
- 80.4
- Weighted basis
- 2 vs 2 rows
- Reading
- Qwen3.6-27B leads
Model comparison
Qwen3.6-27B vs ZAYA1-8B
Updated August 5, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Qwen3.6-27B has the higher public score estimate, 52.77 versus 31.58, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
4 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
Qwen3.6-27B
Qwen3.6-27B 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. Qwen3.6-27B 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.
34 Qwen3.6-27B only
4 Shared
7 ZAYA1-8B only
- Shared results
- 4
- Qwen3.6-27B only
- 34
- ZAYA1-8B only
- 7
- Like-for-like categories
- 1 / 8
1 category uses 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.
Knowledge
Directional only- Qwen3.6-27B
- 53.3
- ZAYA1-8B
- 73.6
- Weighted basis
- 4 vs 2 rows
- Reading
- Directional only
Agentic
Not comparable- Qwen3.6-27B
- 59.3
- ZAYA1-8B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Coding
Not comparable- Qwen3.6-27B
- 77.5
- ZAYA1-8B
- Not measured
- Weighted basis
- 3 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Qwen3.6-27B
- Not measured
- ZAYA1-8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- Qwen3.6-27B
- Not measured
- ZAYA1-8B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Qwen3.6-27B
- 76.7
- ZAYA1-8B
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Qwen3.6-27B
- Not measured
- ZAYA1-8B
- 64.1
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
| Category | Qwen3.6-27B | ZAYA1-8B | Weighted basis | Reading |
|---|---|---|---|---|
| Math | 89.2 | 80.4 | Like-for-like2 vs 2 rows | Qwen3.6-27B leads |
| Knowledge | 53.3 | 73.6 | Directional only4 vs 2 rows | Directional only |
| Agentic | 59.3 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Coding | 77.5 | Not measured | Not comparable3 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | 76.7 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Instruction following | Not measured | 64.1 | Not comparable0 vs 2 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.
GPQA
Knowledge
HMMT Feb 2026
Math
MMLU-Pro
Knowledge
AIME26
Math
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
- Qwen3.6-27B
- Self-hosted; infrastructure cost varies
- Fits in one request
- ZAYA1-8B
- Self-hosted; infrastructure cost varies
- Fits in one request
Qwen3.6-27B has no comparable published API token rate. ZAYA1-8B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Qwen3.6-27B
- Self-hosted; infrastructure cost varies
- Fits in one request
- ZAYA1-8B
- Self-hosted; infrastructure cost varies
- Fits in one request
Qwen3.6-27B 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
- Qwen3.6-27B
- Self-hosted; infrastructure cost varies
- 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. Qwen3.6-27B 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.
SpecificationQwen3.6-27BZAYA1-8B
Context window
Maximum documented context; output-token limits may be lower.
Qwen3.6-27B
262K
ZAYA1-8B
131K
API model ID
Qwen3.6-27B
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.
Qwen3.6-27B
No comparable hosted API rate
ZAYA1-8B
No comparable hosted API rate
Documented inputs
Qwen3.6-27B
Not sourced
ZAYA1-8B
Not sourced
Documented outputs
Qwen3.6-27B
Not sourced
ZAYA1-8B
Not sourced
Provider availability
Qwen3.6-27B
Not sourced
ZAYA1-8B
Not sourced
Reasoning profile
Qwen3.6-27B
Reasoning
ZAYA1-8B
Reasoning
Weight access
Qwen3.6-27B
Open Weight
ZAYA1-8B
Open Weight
License
Qwen3.6-27B
Open Weight
ZAYA1-8B
Open Weight
Release date
Qwen3.6-27B
2026-04-21
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
- Qwen3.6-27B has the higher public score estimate, 52.77 versus 31.58, but the 90% score intervals overlap.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Qwen3.6-27B has the larger documented window (262K).
Run the same representative tasks against both endpoints before changing production traffic.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Qwen3.6-27B
API / mo$0
Self-host / mo$429
Break-even—
ZAYA1-8B
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence45 rows
Agentic
Terminal-Bench 2.0
Qwen3.6-27B59.3%SourceZAYA1-8B—Not directly comparable
Claw-Eval
Qwen3.6-27B72.4%SourceZAYA1-8B—Not directly comparable
QwenClawBench
Qwen3.6-27B53.4%SourceZAYA1-8B—Not directly comparable
QwenWebBench
Qwen3.6-27B1487SourceZAYA1-8B—Not directly comparable
AndroidWorld
Qwen3.6-27B70.3%SourceZAYA1-8B—Not directly comparable
Gert Labs
Qwen3.6-27B54.84%SourceZAYA1-8B—Not directly comparable
BFCL v4
Qwen3.6-27B—ZAYA1-8B39.2%SourceNot directly comparable
Coding
SWE-bench Verified
Qwen3.6-27B77.2%SourceZAYA1-8B—Not directly comparable
SWE Multilingual
Qwen3.6-27B71.3%SourceZAYA1-8B—Not directly comparable
SWE-bench Pro
Qwen3.6-27B53.5%SourceZAYA1-8B—Not directly comparable
Terminal-Bench 2.0
Qwen3.6-27B59.3%SourceZAYA1-8B—Not directly comparable
LiveCodeBench
Qwen3.6-27B83.9%SourceZAYA1-8B—Not directly comparable
NL2Repo
Qwen3.6-27B36.2%SourceZAYA1-8B—Not directly comparable
LiveCodeBench v6
Qwen3.6-27B—ZAYA1-8B65.8%SourceNot directly comparable
Knowledge
MMLU-Pro
Qwen3.6-27B86.2%SourceZAYA1-8B74.2%SourceQwen3.6-27B leads this result
MMLU-Redux
Qwen3.6-27B93.5%SourceZAYA1-8B—Not directly comparable
SuperGPQA
Qwen3.6-27B66%SourceZAYA1-8B—Not directly comparable
C-Eval
Qwen3.6-27B91.4%SourceZAYA1-8B—Not directly comparable
GPQA
Qwen3.6-27B87.8%SourceZAYA1-8B71%SourceQwen3.6-27B leads this result
HLE
Qwen3.6-27B24%SourceZAYA1-8B—Not directly comparable
GPQA-D
Qwen3.6-27B—ZAYA1-8B71.0%SourceNot directly comparable
Math
HMMT Feb 2025
Qwen3.6-27B93.8%SourceZAYA1-8B—Not directly comparable
HMMT Nov 2025
Qwen3.6-27B90.7%SourceZAYA1-8B—Not directly comparable
HMMT Feb 2026
Qwen3.6-27B84.3%SourceZAYA1-8B71.6%SourceQwen3.6-27B leads this result
MMAnswerBench
Qwen3.6-27B80.8%SourceZAYA1-8B—Not directly comparable
AIME26
Qwen3.6-27B94.1%SourceZAYA1-8B89.1%SourceQwen3.6-27B leads this result
IMOAnswerBench
Qwen3.6-27B—ZAYA1-8B59.3%SourceNot directly comparable
Apex
Qwen3.6-27B—ZAYA1-8B32.2%SourceNot directly comparable
Multimodal
MMMU
Qwen3.6-27B82.9%SourceZAYA1-8B—Not directly comparable
MMMU-Pro
Qwen3.6-27B75.8%SourceZAYA1-8B—Not directly comparable
RealWorldQA
Qwen3.6-27B84.1%SourceZAYA1-8B—Not directly comparable
DynaMath
Qwen3.6-27B85.6%SourceZAYA1-8B—Not directly comparable
MStar
Qwen3.6-27B81.4%SourceZAYA1-8B—Not directly comparable
SimpleVQA
Qwen3.6-27B56.1%SourceZAYA1-8B—Not directly comparable
CharXiv
Qwen3.6-27B78.4%SourceZAYA1-8B—Not directly comparable
CC-OCR
Qwen3.6-27B81.2%SourceZAYA1-8B—Not directly comparable
CountBench
Qwen3.6-27B97.8%SourceZAYA1-8B—Not directly comparable
RefCOCO (avg)
Qwen3.6-27B92.5%SourceZAYA1-8B—Not directly comparable
ERQA
Qwen3.6-27B62.5%SourceZAYA1-8B—Not directly comparable
Video-MME (with subtitle)
Qwen3.6-27B87.7%SourceZAYA1-8B—Not directly comparable
VideoMMMU
Qwen3.6-27B84.4%SourceZAYA1-8B—Not directly comparable
MLVU (M-Avg)
Qwen3.6-27B86.6%SourceZAYA1-8B—Not directly comparable
V*
Qwen3.6-27B94.7%SourceZAYA1-8B—Not directly comparable
Instruction following
Frequently asked questions
Which is better, Qwen3.6-27B or ZAYA1-8B?
Qwen3.6-27B has the higher public score estimate, 52.77 versus 31.58, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Qwen3.6-27B 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, Qwen3.6-27B 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, Qwen3.6-27B 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, Qwen3.6-27B or ZAYA1-8B?
Qwen3.6-27B has the larger documented context window: 262K, compared with 131K.
Related comparisons
Last updated August 5, 2026
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