Model Comparison

Qwen3.5-397B-A17B vs Qwen3 VL 235B A22B Instruct

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3 VL 235B A22B Instruct is 2.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Qwen3.5-397B-A17B outperforms in 8 benchmarks (HMMT25, IFEval, Include, LiveCodeBench v6, MMLU-Pro, MMLU-ProX, MMLU-Redux, SuperGPQA), while Qwen3 VL 235B A22B Instruct is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 235B A22B Instruct costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 2.0x more expensive than Qwen3 VL 235B A22B Instruct ($0.30/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 2.4x more expensive than Qwen3 VL 235B A22B Instruct ($1.49/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Qwen3 VL 235B A22B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input tokens$0.30
Output tokens$1.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

161.0B diff

Qwen3.5-397B-A17B has 161.0B more parameters than Qwen3 VL 235B A22B Instruct, making it 68.2% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
397.0B
Qwen3.5-397B-A17B
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Both models have the same input context window of 262,144 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and Qwen3 VL 235B A22B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Qwen3 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Qwen3.5-397B-A17B is 5 months newer than Qwen3 VL 235B A22B Instruct.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

4mo newer
Qwen3 VL 235B A22B Instruct

Sep 22, 2025

6 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3.5-397B-A17B is available from Novita. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M

Qwen3 VL 235B A22B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.49/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Higher HMMT25 score (92.7% vs 57.4%)
Higher IFEval score (92.6% vs 87.8%)
Higher Include score (85.6% vs 80.0%)
Higher LiveCodeBench v6 score (83.6% vs 54.3%)
Higher MMLU-Pro score (87.8% vs 81.8%)
Higher MMLU-ProX score (84.7% vs 77.8%)
Higher MMLU-Redux score (94.9% vs 92.2%)
Higher SuperGPQA score (70.4% vs 60.4%)
Alibaba Cloud / Qwen Team
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct

FAQ

Common questions about Qwen3.5-397B-A17B vs Qwen3 VL 235B A22B Instruct

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.
Qwen3 VL 235B A22B Instruct is 2.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Qwen3 VL 235B A22B Instruct costs $0.30/M input and $1.49/M output via deepinfra.
Qwen3.5-397B-A17B supports 262K tokens and Qwen3 VL 235B A22B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.60 vs $0.30/M). See the full comparison above for benchmark-by-benchmark results.