Agentic
Directional only- Qwen3.6-35B-A3B
- 40.2
- Estimated · #119/154
- ZAYA1-8B
- 46.1
- Estimated · #82/154
- Basis
- BenchAlign lane · 11 vs 1 public rows
- Reading
- Directional only
Qwen3.6-35B-A3B vs ZAYA1-8B
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.
Updated September 18, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Both of these models will change. Get the price, version and retirement notices for the pair, each with its source. Follow model changes
Share or export
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
Qwen3.6-35B-A3B
Qwen3.6-35B-A3B 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
ZAYA1-8B 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
Qwen3.6-35B-A3B and ZAYA1-8B are scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
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. Qwen3.6-35B-A3B 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
Which one for a specific job
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
45.0Qwen3.6-35B-A3B—ZAYA1-8B
Not comparable · BenchAlign
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
37 Qwen3.6-35B-A3B only
4 Shared
7 ZAYA1-8B only
- Shared results
- 4
- Qwen3.6-35B-A3B only
- 37
- ZAYA1-8B only
- 7
- Like-for-like categories
- 0 / 8
3 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
Knowledge
Directional only- Qwen3.6-35B-A3B
- 44.3
- Estimated · #118/184
- ZAYA1-8B
- 43.6
- Estimated · #120/184
- Basis
- BenchAlign lane · 5 vs 3 public rows
- Reading
- Directional only
Instruction following
Directional only- Qwen3.6-35B-A3B
- 76.8
- #58/124
- ZAYA1-8B
- 23.5
- #121/124
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Directional only
Coding
Not comparable- Qwen3.6-35B-A3B
- 45.0
- Estimated · #93/154
- ZAYA1-8B
- Not ranked
- Basis
- BenchAlign lane · 6 vs 1 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Qwen3.6-35B-A3B
- 70.3
- Unranked · 2 rankable rows
- ZAYA1-8B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Qwen3.6-35B-A3B
- 70.7
- Unranked · 5 rankable rows
- ZAYA1-8B
- 61.3
- Unranked · 4 rankable rows
- Basis
- Provisional lane · 2 vs 2 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Qwen3.6-35B-A3B
- Not ranked
- ZAYA1-8B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Qwen3.6-35B-A3B
- 50.0
- #37/48
- ZAYA1-8B
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
| Category | Qwen3.6-35B-A3B | ZAYA1-8B | Basis | Reading |
|---|---|---|---|---|
| Agentic | 40.2Estimated · #119/154 | 46.1Estimated · #82/154 | Directional onlyBenchAlign lane · 11 vs 1 public rows | Directional only |
| Knowledge | 44.3Estimated · #118/184 | 43.6Estimated · #120/184 | Directional onlyBenchAlign lane · 5 vs 3 public rows | Directional only |
| Instruction following | 76.8#58/124 | 23.5#121/124 | Directional onlyProvisional lane · 0 vs 1 weighted rows | Directional only |
| Coding | 45.0Estimated · #93/154 | Not ranked | Not comparableBenchAlign lane · 6 vs 1 public rows | Not comparable |
| Reasoning | 70.3Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 70.7Unranked · 5 rankable rows | 61.3Unranked · 4 rankable rows | Not comparableProvisional lane · 2 vs 2 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 50.0#37/48 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | 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.
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
- Qwen3.6-35B-A3B
- API rate not published
- Fits in one request
- ZAYA1-8B
- Self-hosted; infrastructure cost varies
- Fits in one request
Qwen3.6-35B-A3B has no comparable published API token rate. ZAYA1-8B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Qwen3.6-35B-A3B
- API rate not published
- Fits in one request
- ZAYA1-8B
- Self-hosted; infrastructure cost varies
- Fits in one request
Qwen3.6-35B-A3B 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
- Qwen3.6-35B-A3B
- 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. Qwen3.6-35B-A3B 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.
SpecificationQwen3.6-35B-A3BZAYA1-8B
Context window
Maximum documented context; output-token limits may be lower.
Qwen3.6-35B-A3B
262K
ZAYA1-8B
131K
API model ID
Qwen3.6-35B-A3B
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.
Qwen3.6-35B-A3B
No comparable hosted API rate
ZAYA1-8B
No comparable hosted API rate
Documented inputs
Qwen3.6-35B-A3B
Not sourced
ZAYA1-8B
Not sourced
Documented outputs
Qwen3.6-35B-A3B
Not sourced
ZAYA1-8B
Not sourced
Provider availability
Qwen3.6-35B-A3B
Not sourced
ZAYA1-8B
Not sourced
Reasoning profile
Qwen3.6-35B-A3B
Reasoning
ZAYA1-8B
Reasoning
Weight access
Qwen3.6-35B-A3B
Open Weight
ZAYA1-8B
Open Weight
License
Qwen3.6-35B-A3B
Open Weight
ZAYA1-8B
Open Weight
Release date
Qwen3.6-35B-A3B
2026-04-15
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
- 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
- Qwen3.6-35B-A3B 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 evidence48 rows
Agentic
Terminal-Bench 2.0
Qwen3.6-35B-A3B51.5%SourceZAYA1-8B—Not directly comparable
Claw-Eval
Qwen3.6-35B-A3B68.7%SourceZAYA1-8B—Not directly comparable
QwenClawBench
Qwen3.6-35B-A3B52.6%SourceZAYA1-8B—Not directly comparable
QwenWebBench
Qwen3.6-35B-A3B1397SourceZAYA1-8B—Not directly comparable
τ³-bench results
Qwen3.6-35B-A3B67.2%SourceZAYA1-8B—Not directly comparable
VITA-Bench
Qwen3.6-35B-A3B35.6%SourceZAYA1-8B—Not directly comparable
DeepPlanning
Qwen3.6-35B-A3B25.9%SourceZAYA1-8B—Not directly comparable
Toolathlon
Qwen3.6-35B-A3B26.9%SourceZAYA1-8B—Not directly comparable
MCP Atlas
Qwen3.6-35B-A3B62.8%SourceZAYA1-8B—Not directly comparable
WideResearch
Qwen3.6-35B-A3B60.1%SourceZAYA1-8B—Not directly comparable
Gert Labs
Qwen3.6-35B-A3B42.65%SourceZAYA1-8B—Not directly comparable
BFCL v4
Qwen3.6-35B-A3B—ZAYA1-8B39.2%SourceNot directly comparable
Coding
SWE-bench Verified
Qwen3.6-35B-A3B73.4%SourceZAYA1-8B—Not directly comparable
SWE Multilingual
Qwen3.6-35B-A3B67.2%SourceZAYA1-8B—Not directly comparable
SWE-bench Pro
Qwen3.6-35B-A3B49.5%SourceZAYA1-8B—Not directly comparable
Terminal-Bench 2.0
Qwen3.6-35B-A3B51.5%SourceZAYA1-8B—Not directly comparable
LiveCodeBench
Qwen3.6-35B-A3B80.4%SourceZAYA1-8B—Not directly comparable
NL2Repo
Qwen3.6-35B-A3B29.4%SourceZAYA1-8B—Not directly comparable
LiveCodeBench v6
Qwen3.6-35B-A3B—ZAYA1-8B65.8%SourceNot directly comparable
Knowledge
MMLU-Pro
Qwen3.6-35B-A3B85.2%SourceZAYA1-8B74.2%SourceQwen3.6-35B-A3B leads this result
SuperGPQA
Qwen3.6-35B-A3B64.7%SourceZAYA1-8B—Not directly comparable
C-Eval
Qwen3.6-35B-A3B90%SourceZAYA1-8B—Not directly comparable
GPQA
Qwen3.6-35B-A3B86%SourceZAYA1-8B71%SourceQwen3.6-35B-A3B leads this result
HLE
Qwen3.6-35B-A3B21.4%SourceZAYA1-8B—Not directly comparable
GPQA-D
Qwen3.6-35B-A3B—ZAYA1-8B71.0%SourceNot directly comparable
Math
HMMT Feb 2025
Qwen3.6-35B-A3B90.7%SourceZAYA1-8B—Not directly comparable
HMMT Nov 2025
Qwen3.6-35B-A3B89.1%SourceZAYA1-8B—Not directly comparable
HMMT Feb 2026
Qwen3.6-35B-A3B83.6%SourceZAYA1-8B71.6%SourceQwen3.6-35B-A3B leads this result
MMAnswerBench
Qwen3.6-35B-A3B78.9%SourceZAYA1-8B—Not directly comparable
AIME26
Qwen3.6-35B-A3B92.7%SourceZAYA1-8B89.1%SourceQwen3.6-35B-A3B leads this result
IMOAnswerBench
Qwen3.6-35B-A3B—ZAYA1-8B59.3%SourceNot directly comparable
Apex
Qwen3.6-35B-A3B—ZAYA1-8B32.2%SourceNot directly comparable
Multimodal
MMMU
Qwen3.6-35B-A3B81.7%SourceZAYA1-8B—Not directly comparable
MMMU-Pro
Qwen3.6-35B-A3B75.3%SourceZAYA1-8B—Not directly comparable
RealWorldQA
Qwen3.6-35B-A3B85.3%SourceZAYA1-8B—Not directly comparable
OmniDocBench 1.5
Qwen3.6-35B-A3B89.9%SourceZAYA1-8B—Not directly comparable
CharXiv
Qwen3.6-35B-A3B78%SourceZAYA1-8B—Not directly comparable
SimpleVQA
Qwen3.6-35B-A3B58.9%SourceZAYA1-8B—Not directly comparable
CC-OCR
Qwen3.6-35B-A3B81.9%SourceZAYA1-8B—Not directly comparable
AI2D_TEST
Qwen3.6-35B-A3B92.7%SourceZAYA1-8B—Not directly comparable
RefCOCO (avg)
Qwen3.6-35B-A3B92.0%SourceZAYA1-8B—Not directly comparable
ODINW13
Qwen3.6-35B-A3B50.8%SourceZAYA1-8B—Not directly comparable
Video-MME (with subtitle)
Qwen3.6-35B-A3B86.6%SourceZAYA1-8B—Not directly comparable
Video-MME (w/o subtitle)
Qwen3.6-35B-A3B82.5%SourceZAYA1-8B—Not directly comparable
VideoMMMU
Qwen3.6-35B-A3B83.7%SourceZAYA1-8B—Not directly comparable
MLVU (M-Avg)
Qwen3.6-35B-A3B86.2%SourceZAYA1-8B—Not directly comparable
Instruction following
Questions
Which is better, Qwen3.6-35B-A3B or ZAYA1-8B?
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, Qwen3.6-35B-A3B or ZAYA1-8B?
ZAYA1-8B is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Qwen3.6-35B-A3B or ZAYA1-8B?
ZAYA1-8B scores higher for agentic tasks on the public lane, 46.1 to 40.2. Qwen3.6-35B-A3B and ZAYA1-8B are scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Qwen3.6-35B-A3B 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, Qwen3.6-35B-A3B or ZAYA1-8B?
Qwen3.6-35B-A3B has the larger documented context window: 262K, compared with 131K.
Related comparisons
Last updated September 18, 2026
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