Agentic
Like-for-like- Qwen3.6-27B
- 59.3
- Qwen 3.6 Max (preview)
- 65.4
- Weighted basis
- 1 vs 1 rows
- Reading
- Qwen 3.6 Max (preview) leads
Model comparison
Updated July 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Qwen 3.6 Max (preview) has the higher public score estimate, 59.29 versus 52.79, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
6 results are shared. Category rows based on 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.
Tool use, computer use, and multi-step task completion
Qwen 3.6 Max (preview)
Qwen 3.6 Max (preview) leads on the same 1 weighted benchmark row.
Confidence: limited
Prompts that approach the documented context limit
Qwen3.6-27B
Qwen3.6-27B has the larger documented context window.
Confidence: documented
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
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
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
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
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
| Category | Qwen3.6-27B | Qwen 3.6 Max (preview) | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 59.3 | 65.4 | Like-for-like1 vs 1 rows | Qwen 3.6 Max (preview) leads |
| Coding | 77.5 | 51.0 | Directional only3 vs 2 rows | Directional only |
| Knowledge | 53.3 | 73.9 | Directional only4 vs 1 rows | Directional only |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 89.2 | 18.4 | Not comparable2 vs 2 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 | Not measured | Not comparable0 vs 0 rows | Not comparable |
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.
SuperGPQA
Knowledge
Terminal-Bench 2.0
Agentic
SWE-bench Pro
Coding
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
Qwen3.6-27B has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.
50K fresh input + 3K output tokens
Qwen3.6-27B has no comparable published API token rate. Qwen 3.6 Max (preview) has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Qwen3.6-27B has no comparable published API token rate. Qwen 3.6 Max (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.
Qwen3.6-27B
262K
Qwen 3.6 Max (preview)
256K
Qwen3.6-27B
Not sourced
Qwen 3.6 Max (preview)
Not sourced
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
Qwen 3.6 Max (preview)
No comparable hosted API rate
Qwen3.6-27B
Not sourced
Qwen 3.6 Max (preview)
Not sourced
Qwen3.6-27B
Not sourced
Qwen 3.6 Max (preview)
Not sourced
Qwen3.6-27B
Not sourced
Qwen 3.6 Max (preview)
Not sourced
Qwen3.6-27B
Reasoning
Qwen 3.6 Max (preview)
Reasoning
Qwen3.6-27B
Open Weight
Qwen 3.6 Max (preview)
Proprietary
Qwen3.6-27B
Open Weight
Qwen 3.6 Max (preview)
Proprietary
Qwen3.6-27B
2026-04-21
Qwen 3.6 Max (preview)
2026-04-20
Run the same representative tasks against both endpoints before changing production traffic.
Estimates at 50,000 req/day · 1000 tokens/req average.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Qwen 3.6 Max (preview) leads this result
Claw-Eval
Not directly comparable
QwenClawBench
Qwen 3.6 Max (preview) leads this result
QwenWebBench
Not directly comparable
AndroidWorld
Not directly comparable
Gert Labs
Not directly comparable
SWE-bench Verified
Not directly comparable
SWE Multilingual
Not directly comparable
SWE-bench Pro
Qwen 3.6 Max (preview) leads this result
Terminal-Bench 2.0
Qwen 3.6 Max (preview) leads this result
LiveCodeBench
Not directly comparable
NL2Repo
Qwen 3.6 Max (preview) leads this result
SciCode
Not directly comparable
MMLU-Pro
Not directly comparable
MMLU-Redux
Not directly comparable
SuperGPQA
Qwen 3.6 Max (preview) leads this result
C-Eval
Not directly comparable
GPQA
Not directly comparable
HLE
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
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Not directly comparable
FrontierMath v2 (Tier 4)
Not directly comparable
MMMU
Not directly comparable
MMMU-Pro
Not directly comparable
RealWorldQA
Not directly comparable
DynaMath
Not directly comparable
MStar
Not directly comparable
SimpleVQA
Not directly comparable
CharXiv
Not directly comparable
CC-OCR
Not directly comparable
CountBench
Not directly comparable
RefCOCO (avg)
Not directly comparable
ERQA
Not directly comparable
Video-MME (with subtitle)
Not directly comparable
VideoMMMU
Not directly comparable
MLVU (M-Avg)
Not directly comparable
V*
Not directly comparable
Qwen 3.6 Max (preview) has the higher public score estimate, 59.29 versus 52.79, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Qwen 3.6 Max (preview) leads the like-for-like agentic tasks comparison across 1 shared weighted benchmark row.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Qwen3.6-27B has the larger documented context window: 262K, compared with 256K.
Last updated July 29, 2026
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