Model Comparison

Mistral NeMo Instruct vs Qwen3-Coder

Comparing Mistral NeMo Instruct and Qwen3-Coder across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral NeMo Instruct 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

Mistral NeMo Instruct costs less

For input processing, Mistral NeMo Instruct ($0.15/1M tokens) is 1.2x cheaper than Qwen3-Coder ($0.18/1M tokens).

For output processing, Mistral NeMo Instruct ($0.15/1M tokens) is 1.2x cheaper than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Qwen3-Coder is more expensive than Mistral NeMo Instruct.*

* 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 NeMo Instruct
Input tokens$0.15
Output tokens$0.15
Best providerGoogle
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

468.0B diff

Qwen3-Coder has 468.0B more parameters than Mistral NeMo Instruct, making it 3900.0% larger.

Mistral AI
Mistral NeMo Instruct
12.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Coder
480.0Bparameters
12.0B
Mistral NeMo Instruct
480.0B
Qwen3-Coder

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to Mistral NeMo Instruct's 128,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Mistral NeMo Instruct is limited to 128,000 tokens.

Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Thu Apr 16 2026 • llm-stats.com

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 NeMo Instruct

Apache 2.0

Open weights

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Qwen3-Coder was released on 2025-01-01.

Qwen3-Coder is 6 months newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

1.7 years ago

Qwen3-Coder

Jan 1, 2025

1.3 years ago

5mo 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

Provider Availability

Mistral NeMo Instruct is available from Google, Mistral AI. Qwen3-Coder is available from DeepInfra, Fireworks.

Mistral NeMo Instruct

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

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

Mistral AI
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral NeMo Instruct
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about Mistral NeMo Instruct vs Qwen3-Coder

Mistral NeMo Instruct (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 NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.
Mistral NeMo Instruct is 1.2x cheaper for input tokens. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via google. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.
Mistral NeMo Instruct supports 128K 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 (128K vs 256K), input pricing ($0.15 vs $0.18/M). See the full comparison above for benchmark-by-benchmark results.
Mistral NeMo Instruct is developed by Mistral AI and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.