Model Comparison

Mistral Large 3 (675B Instruct 2512) vs Qwen3-Coder

Comparing Mistral Large 3 (675B Instruct 2512) and Qwen3-Coder across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 3 (675B Instruct 2512) and Qwen3-Coder don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-Coder costs less

For input processing, Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens) is 2.8x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens) is 8.3x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Mistral Large 3 (675B Instruct 2512) is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

195.0B diff

Mistral Large 3 (675B Instruct 2512) has 195.0B more parameters than Qwen3-Coder, making it 40.6% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512)
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Mistral Large 3 (675B Instruct 2512) accepts 262,100 input tokens compared to Qwen3-Coder's 256,000 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while Qwen3-Coder is limited to 256,000 tokens.

Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512) supports multimodal inputs, whereas Qwen3-Coder does not.

Mistral Large 3 (675B Instruct 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

Qwen3-Coder

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.

Mistral Large 3 (675B Instruct 2512)

Apache 2.0

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512) was released on 2025-12-04, while Qwen3-Coder was released on 2025-01-01.

Mistral Large 3 (675B Instruct 2512) is 11 months newer than Qwen3-Coder.

Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

4 months ago

11mo newer
Qwen3-Coder

Jan 1, 2025

1.3 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

Mistral Large 3 (675B Instruct 2512) is available from Mistral AI. Qwen3-Coder is available from DeepInfra, Fireworks.

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (262,100 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512) vs Qwen3-Coder

Mistral Large 3 (675B Instruct 2512) (Mistral AI) and Qwen3-Coder (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.
Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.
Qwen3-Coder is 2.8x cheaper for input tokens. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.
Mistral Large 3 (675B Instruct 2512) supports 262K tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (262K vs 256K), input pricing ($0.50 vs $0.18/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.