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Ministral 8B Instruct vs Qwen3.8-Flash-Next

Comparing Ministral 8B Instruct and Qwen3.8-Flash-Next across benchmarks, pricing, and capabilities.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Ministral 8B Instruct and Qwen3.8-Flash-Next trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Ministral 8B Instruct

  • you want predictable pricing at $0.10/M input and $0.10/M output

Choose Qwen3.8-Flash-Next

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Ministral 8B Instruct
Mistral AI
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.10 / M
— / M
Context window
128,000
—
Released
Oct 2024
Aug 2026
License
Mistral Research License
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Ministral 8B Instruct and Qwen3.8-Flash-Nextdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

117.0B diff

Qwen3.8-Flash-Next has 117.0B more parameters than Ministral 8B Instruct, making it 1458.6% larger.

Mistral AI
Ministral 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
8.0B
Ministral 8B Instruct
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Ministral 8B Instruct specifies input context (128,000 tokens). Only Ministral 8B Instruct specifies output context (128,000 tokens).

Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.8-Flash-Next supports multimodal inputs, whereas Ministral 8B Instruct does not.

Qwen3.8-Flash-Next can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 8B Instruct

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Ministral 8B Instruct is licensed under Mistral Research License, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

License differences may affect how you can use these models in commercial or open-source projects.

Ministral 8B Instruct

Mistral Research License

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Ministral 8B Instruct was released on 2024-10-16, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 23 months newer than Ministral 8B Instruct.

Ministral 8B Instruct

Oct 16, 2024

1.9 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

1 days ago

1.9yr newer

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ministral 8B Instruct and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Ministral 8B Instruct
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Ministral 8B Instruct vs Qwen3.8-Flash-Next.

Which is better, Ministral 8B Instruct or Qwen3.8-Flash-Next?

Ministral 8B Instruct (Mistral AI) and Qwen3.8-Flash-Next (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Ministral 8B Instruct compare to Qwen3.8-Flash-Next in benchmarks?

Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Ministral 8B Instruct and Qwen3.8-Flash-Next?

Ministral 8B Instruct supports 128K tokens and Qwen3.8-Flash-Next supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ministral 8B Instruct and Qwen3.8-Flash-Next?

Key differences include multimodal support (no vs yes), licensing (Mistral Research License vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Ministral 8B Instruct and Qwen3.8-Flash-Next?

Ministral 8B Instruct is developed by Mistral AI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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