Model Comparison

Qwen3.5-397B-A17B vs Pixtral-12B

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Pixtral-12B is 9.0x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen3.5-397B-A17B outperforms in 1 benchmarks (IFEval), while Pixtral-12B is better at 0 benchmarks.

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

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, Qwen3.5-397B-A17B ($0.60/1M tokens) is 4.0x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, Qwen3.5-397B-A17B ($3.60/1M tokens) is 24.0x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Pixtral-12B.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

384.6B diff

Qwen3.5-397B-A17B has 384.6B more parameters than Pixtral-12B, making it 3101.6% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
397.0B
Qwen3.5-397B-A17B
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Pixtral-12B's 128,000 tokens. Qwen3.5-397B-A17B can generate longer responses up to 64,000 tokens, while Pixtral-12B is limited to 8,192 tokens.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.5-397B-A17B and Pixtral-12B 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

Pixtral-12B

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

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Pixtral-12B was released on 2024-09-17.

Qwen3.5-397B-A17B is 17 months newer than Pixtral-12B.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

1.4yr newer
Pixtral-12B

Sep 17, 2024

1.6 years 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. Pixtral-12B is available from Mistral AI.

Qwen3.5-397B-A17B

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

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* 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

Larger context window (262,144 tokens)
Higher IFEval score (92.6% vs 61.3%)
Mistral AI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Mistral AI
Pixtral-12B

FAQ

Common questions about Qwen3.5-397B-A17B vs Pixtral-12B

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Pixtral-12B is made by Mistral AI. 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%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Pixtral-12B is 4.0x cheaper for input tokens. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.
Qwen3.5-397B-A17B supports 262K tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 128K), input pricing ($0.60 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Pixtral-12B is developed by Mistral AI.