Long documents
Prompts that approach the documented context limit
Qwen3.6-35B-A3B
Qwen3.6-35B-A3B has the larger documented context window.
Updated September 23, 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
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.
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.
Prompts that approach the documented context limit
Qwen3.6-35B-A3B
Qwen3.6-35B-A3B has the larger documented context window.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
ZAYA1-74B-Preview is not ranked on the public lane for coding, so no winner is named for coding.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
ZAYA1-74B-Preview is not ranked on the public lane for agentic, so no winner is named for agentic.
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
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.
Not comparable · BenchAlign v5.6
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.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
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.
GPQAKnowledge
Normalized gap 28.7SWE-bench VerifiedCoding
Normalized gap 20.2MMLU-ProKnowledge
Normalized gap 17.1AIME26Math
Normalized gap 16.3Each row shows the public-lane category score for both models: the BenchAlign v5.6 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.
| Category | Qwen3.6-35B-A3B | ZAYA1-74B-Preview | Basis | Reading |
|---|---|---|---|---|
| Agentic | 29.6Estimated · #67/105 | Not ranked | Not comparableBenchAlign v5.6 lane · 11 vs 1 public rows | Not comparable |
| Coding | 38.7Estimated · #65/135 | Not ranked | Not comparableBenchAlign v5.6 lane · 6 vs 2 public rows | Not comparable |
| Reasoning | 70.3Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 50.0#39/50 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Knowledge | 40.7Estimated · #84/160 | Not ranked | Not comparableBenchAlign v5.6 lane · 5 vs 3 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | 76.8#57/124 | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 70.7Unranked · 5 rankable rows | 51.6Unranked · 1 rankable row | Not comparableProvisional lane · 2 vs 1 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.6) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
1K fresh input + 500 output tokens
Qwen3.6-35B-A3B has no comparable published API token rate. ZAYA1-74B-Preview has no comparable published API token rate.
50K fresh input + 3K output tokens
Qwen3.6-35B-A3B has no comparable published API token rate. ZAYA1-74B-Preview has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Qwen3.6-35B-A3B has no comparable published API token rate. ZAYA1-74B-Preview has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Qwen3.6-35B-A3B
262K
ZAYA1-74B-Preview
256K
Qwen3.6-35B-A3B
Not sourced
ZAYA1-74B-Preview
Not sourced
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
ZAYA1-74B-Preview
No comparable hosted API rate
Qwen3.6-35B-A3B
Not sourced
ZAYA1-74B-Preview
Not sourced
Qwen3.6-35B-A3B
Not sourced
ZAYA1-74B-Preview
Not sourced
Qwen3.6-35B-A3B
Not sourced
ZAYA1-74B-Preview
Not sourced
Qwen3.6-35B-A3B
Reasoning
ZAYA1-74B-Preview
Reasoning
Qwen3.6-35B-A3B
Open Weight
ZAYA1-74B-Preview
Open Weight
Qwen3.6-35B-A3B
Open Weight
ZAYA1-74B-Preview
Open Weight
Qwen3.6-35B-A3B
2026-04-15
ZAYA1-74B-Preview
2026-05-07
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.
ZAYA1-74B-Preview is not ranked on the public lane for coding, so no winner is named for coding.
ZAYA1-74B-Preview is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Qwen3.6-35B-A3B has the larger documented context window: 262K, compared with 256K.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Not directly comparable
Claw-Eval
Not directly comparable
QwenClawBench
Not directly comparable
QwenWebBench
Not directly comparable
τ³-bench results
Not directly comparable
VITA-Bench
Not directly comparable
DeepPlanning
Not directly comparable
Toolathlon
Not directly comparable
MCP Atlas
Not directly comparable
WideResearch
Not directly comparable
Gert Labs
Not directly comparable
τ²-bench Airline
Not directly comparable
SWE-bench Verified
Qwen3.6-35B-A3B leads this result
SWE Multilingual
Not directly comparable
SWE-bench Pro
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
LiveCodeBench
Not directly comparable
NL2Repo
Not directly comparable
LiveCodeBench v6
Not directly comparable
MMMU
Not directly comparable
MMMU-Pro
Not directly comparable
RealWorldQA
Not directly comparable
OmniDocBench 1.5
Not directly comparable
CharXiv
Not directly comparable
SimpleVQA
Not directly comparable
CC-OCR
Not directly comparable
AI2D_TEST
Not directly comparable
RefCOCO (avg)
Not directly comparable
ODINW13
Not directly comparable
Video-MME (with subtitle)
Not directly comparable
Video-MME (w/o subtitle)
Not directly comparable
VideoMMMU
Not directly comparable
MLVU (M-Avg)
Not directly comparable
MMLU-Pro
Qwen3.6-35B-A3B leads this result
SuperGPQA
Not directly comparable
C-Eval
Not directly comparable
GPQA
Qwen3.6-35B-A3B leads this result
HLE
Not directly comparable
GPQA-D
Not directly comparable
HMMT Feb 2025
Not directly comparable
HMMT Nov 2025
Not directly comparable
HMMT Feb 2026
Not directly comparable
MMAnswerBench
Not directly comparable
AIME26
Qwen3.6-35B-A3B leads this result
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Last updated September 23, 2026