Qwen 3.7 Max
Not tested yet
Language modelAPI only
Qwen 3.7 Max
Alibaba
- Released
- May 2026
- Data date
- September 8, 2026
- Intelligence
- Overall score
- Speed
- 199.8 tokens/sOutput throughput
- Price
- Input · Output / 1M tokens
- Input
- Text
- Output
- Text
No published category-wide ranking is available for this model.
Entries 1-12 of 12. Page 1 of 1.
Published benchmarks
Each chart compares models in the same documented test and highlights the current model.
Cybersecurity
5 measurementsSecCodeBench-V2
Repair without hints
What this benchmark measures: 98 executable project cases across 22 CWE categories test functionality before security.
Context: The weighted score combines generation, repair, native prompts, and security-aware prompts.
Higher is better4 modelsQwen 3.7 Max: Rank 3 of 4Data date: August 9, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- seccodebench-v2-2-0:official:fix
- Metric
- native repair pass@1
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-8dda0b704c6c. Source payload hash: 8dda0b704c6ceb1400821b41d227b2c8c14d70b8c21be2fef37b3062fe197d66. Parser version: curated-v1. Imported at: 2026-09-04
SecCodeBench-V2
Repair with security hints
What this benchmark measures: 98 executable project cases across 22 CWE categories test functionality before security.
Context: The weighted score combines generation, repair, native prompts, and security-aware prompts.
Higher is better4 modelsQwen 3.7 Max: Rank 1 of 4Data date: August 9, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- seccodebench-v2-2-0:official:fixHints
- Metric
- security-aware repair pass@1
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-a991bfc9f6bf. Source payload hash: a991bfc9f6bfcdbd9e7c9b84a4c44db4aed58437bf48df54428ced059cd044ed. Parser version: curated-v1. Imported at: 2026-09-04
SecCodeBench-V2
Generation without hints
What this benchmark measures: 98 executable project cases across 22 CWE categories test functionality before security.
Context: The weighted score combines generation, repair, native prompts, and security-aware prompts.
Higher is better4 modelsQwen 3.7 Max: Rank 2 of 4Data date: August 9, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- seccodebench-v2-2-0:official:generation
- Metric
- native generation pass@1
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-c831e1b3a064. Source payload hash: c831e1b3a064f76e236d38fa872db742622407caf09778624c0d68c403fc363a. Parser version: curated-v1. Imported at: 2026-09-04
SecCodeBench-V2
Generation with security hints
What this benchmark measures: 98 executable project cases across 22 CWE categories test functionality before security.
Context: The weighted score combines generation, repair, native prompts, and security-aware prompts.
Higher is better4 modelsQwen 3.7 Max: Rank 2 of 4Data date: August 9, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- seccodebench-v2-2-0:official:generationHints
- Metric
- security-aware generation pass@1
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-5e9035a16627. Source payload hash: 5e9035a16627cb8615567693971a4d7f7746e892112a9222e7ddda8d47228615. Parser version: curated-v1. Imported at: 2026-09-04
SecCodeBench-V2
Weighted total
What this benchmark measures: 98 executable project cases across 22 CWE categories test functionality before security.
Context: The weighted score combines generation, repair, native prompts, and security-aware prompts.
Higher is better4 modelsQwen 3.7 Max: Rank 2 of 4Data date: August 9, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- seccodebench-v2-2-0:official:total
- Metric
- weighted pass@1
- Scale
- 0-100
- Participants
- 4
- Methodology and context
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-8c67968e9499. Source payload hash: 8c67968e94991d05da21d43212f2e959afd338b5fc9b0fe7afb87a8e5db336ce. Parser version: curated-v1. Imported at: 2026-09-04
Measurements without matching peer values
These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.
Output speed (Show measurement, test conditions, and source)
- Source value
- 199.79150633145
- Score
- 199.79150633145
- Metric
- tokens/s
- Unit
- tokens/s
- Direction
- Higher is better
- Comparison cohort
- research:qwen-3.7-max:0
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Independent evaluation. unknown; default 10K-input workload only
- Context
- Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.
Time per Intelligence Index Task (Show measurement, test conditions, and source)
- Source value
- 2.337737169449419
- Score
- 2.337737169449419
- Metric
- minutes
- Unit
- minutes
- Direction
- Lower is better
- Comparison cohort
- research:qwen-3.7-max:1
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Independent evaluation. unknown; default 10K-input workload only
- Context
- Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.
Latency reasoning time (Show measurement, test conditions, and source)
- Source value
- 12.05756963463461
- Score
- 12.05756963463461
- Metric
- seconds
- Unit
- seconds
- Direction
- Lower is better
- Comparison cohort
- research:qwen-3.7-max:2
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Independent evaluation. unknown; default 10K-input workload only
- Context
- Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.
Latency input time (Show measurement, test conditions, and source)
- Source value
- 2.280572871
- Score
- 2.280572871
- Metric
- seconds
- Unit
- seconds
- Direction
- Lower is better
- Comparison cohort
- research:qwen-3.7-max:3
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Independent evaluation. unknown; default 10K-input workload only
- Context
- Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.
Answer generation time (end-to-end timing breakdown) (Show measurement, test conditions, and source)
- Source value
- 2.5026088905426755
- Score
- 2.5026088905426755
- Metric
- seconds
- Unit
- seconds
- Direction
- Lower is better
- Comparison cohort
- research:qwen-3.7-max:4
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Independent evaluation. unknown; default 10K-input workload only
- Context
- Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.
End-to-end reasoning time component (Show measurement, test conditions, and source)
- Source value
- 12.05756963463461
- Score
- 12.05756963463461
- Metric
- seconds
- Unit
- seconds
- Direction
- Lower is better
- Comparison cohort
- research:qwen-3.7-max:5
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Independent evaluation. unknown; default 10K-input workload only
- Context
- Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.
End-to-end input time component (Show measurement, test conditions, and source)
- Source value
- 2.280572871
- Score
- 2.280572871
- Metric
- seconds
- Unit
- seconds
- Direction
- Lower is better
- Comparison cohort
- research:qwen-3.7-max:6
- Source type
- independent-evaluator
- Evaluator
- Artificial Analysis
- Status
- active
- Retrieved at
- 2026-09-08
- Methodology
- Independent evaluation. unknown; default 10K-input workload only
- Context
- Artificial Analysis performance timing; output speed is decoded after the first streaming chunk. Provider basis: first-party API. Deprecated model. Artificial Analysis only continues benchmarking the default 10K-input workload.
Recorded measurement details
Every observation retains its source value and published test conditions.
SecCodeBench-V2: Repair without hints (Show measurement, test conditions, and source)
- Source value
- 72.5
- Score
- 72.5
- Metric
- native repair pass@1
- Unit
- %
- Benchmark version
- 2.2.0
- Category
- cybersecurity
- Task
- fix
- Task label
- Repair without hints
- Direction
- Higher is better
- Comparison cohort
- seccodebench-v2-2-0:official:fix
- Source type
- official-leaderboard
- Evaluator
- SecCodeBench
- Status
- active
- Retrieved at
- 2026-08-09
- Methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-8dda0b704c6c. Source payload hash: 8dda0b704c6ceb1400821b41d227b2c8c14d70b8c21be2fef37b3062fe197d66. Parser version: curated-v1. Imported at: 2026-09-04
- Comparison methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.
SecCodeBench-V2: Repair with security hints (Show measurement, test conditions, and source)
- Source value
- 86.77
- Score
- 86.77
- Metric
- security-aware repair pass@1
- Unit
- %
- Benchmark version
- 2.2.0
- Category
- cybersecurity
- Task
- fixHints
- Task label
- Repair with security hints
- Direction
- Higher is better
- Comparison cohort
- seccodebench-v2-2-0:official:fixHints
- Source type
- official-leaderboard
- Evaluator
- SecCodeBench
- Status
- active
- Retrieved at
- 2026-08-09
- Methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-a991bfc9f6bf. Source payload hash: a991bfc9f6bfcdbd9e7c9b84a4c44db4aed58437bf48df54428ced059cd044ed. Parser version: curated-v1. Imported at: 2026-09-04
- Comparison methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.
SecCodeBench-V2: Generation without hints (Show measurement, test conditions, and source)
- Source value
- 55.12
- Score
- 55.12
- Metric
- native generation pass@1
- Unit
- %
- Benchmark version
- 2.2.0
- Category
- cybersecurity
- Task
- generation
- Task label
- Generation without hints
- Direction
- Higher is better
- Comparison cohort
- seccodebench-v2-2-0:official:generation
- Source type
- official-leaderboard
- Evaluator
- SecCodeBench
- Status
- active
- Retrieved at
- 2026-08-09
- Methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-c831e1b3a064. Source payload hash: c831e1b3a064f76e236d38fa872db742622407caf09778624c0d68c403fc363a. Parser version: curated-v1. Imported at: 2026-09-04
- Comparison methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.
SecCodeBench-V2: Generation with security hints (Show measurement, test conditions, and source)
- Source value
- 70.85
- Score
- 70.85
- Metric
- security-aware generation pass@1
- Unit
- %
- Benchmark version
- 2.2.0
- Category
- cybersecurity
- Task
- generationHints
- Task label
- Generation with security hints
- Direction
- Higher is better
- Comparison cohort
- seccodebench-v2-2-0:official:generationHints
- Source type
- official-leaderboard
- Evaluator
- SecCodeBench
- Status
- active
- Retrieved at
- 2026-08-09
- Methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-5e9035a16627. Source payload hash: 5e9035a16627cb8615567693971a4d7f7746e892112a9222e7ddda8d47228615. Parser version: curated-v1. Imported at: 2026-09-04
- Comparison methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.
SecCodeBench-V2: Weighted total (Show measurement, test conditions, and source)
- Source value
- 66.81
- Score
- 66.81
- Metric
- weighted pass@1
- Unit
- %
- Benchmark version
- 2.2.0
- Category
- cybersecurity
- Task
- total
- Task label
- Weighted total
- Direction
- Higher is better
- Comparison cohort
- seccodebench-v2-2-0:official:total
- Source type
- official-leaderboard
- Evaluator
- SecCodeBench
- Status
- active
- Retrieved at
- 2026-08-09
- Methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.. Source model ID: curated/qwen-3.7-max. Source model name: Qwen 3.7 Max. Provider reported by source: Alibaba. Evaluator: SecCodeBench. Dataset type: public. Leaderboard date: 2026-02-16. Source ID: seccodebench. Evidence capture ID: curated-seccodebench-2026-08-09-8c67968e9499. Source payload hash: 8c67968e94991d05da21d43212f2e959afd338b5fc9b0fe7afb87a8e5db336ce. Parser version: curated-v1. Imported at: 2026-09-04
- Comparison methodology
- 98 project cases. Functional tests run before dynamic exploit checks and security scoring.
Our model tests
Community tests you can inspect
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)Profile
Specifications and access
Published information about this model. Existing estimates are explicitly labeled.
Additional source observations
Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
Cost example
100 API requests
$0.41255
100 requests with 1,000 input and 500 output tokens each calculate to $0.41255. Input accounts for $0.165; output accounts for $0.24755.
- Input price
- $1.65 / 1M tokensBase tier for each request
- Output price
- $4.951 / 1M tokensBase tier for each request
The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.
Open sourceHead-to-head comparisons
Compare this model
Each matchup compares this model with exactly one other model from the same category.
There are no published direct comparisons for this model yet.
Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
- Speed
Alibaba. Output speed after the first streaming chunk, not total response time. Classified as deprecated by Artificial Analysis. Artificial Analysis maintains only the default 10K-input workload there. Retrieved September 8, 2026.
- Price
Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
- Input
Documented modalities. Retrieved September 8, 2026.
- Output
Documented modalities. Retrieved September 8, 2026.
Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Open evidence questions and research notes (original wording)
Not found in the inspected sources
knowledge-cutoff. Checked Model Studio model/API pages do not state an exact knowledge cutoff.
Not found in the inspected sources
profile-benchmarks. No exact-model numeric benchmark table was found in the checked API documentation.
Not found in the inspected sources
parameters-billions. The checked API documentation does not publish total parameters.
Unresolved
input-modalities. The checked API model list confirms text generation but the vision table does not provide a qwen3.7-max row; no multimodal claim made.