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Grok 4.6 vs Mistral NeMo Instruct

Comparing Grok 4.6 and Mistral NeMo Instruct across benchmarks, pricing, and capabilities.

xAI · Mistral AI · Updated for 2026

Which is better?

Grok 4.6 and Mistral NeMo Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Mistral NeMo Instruct is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Grok 4.6 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Grok 4.6

  • you process long inputs — it offers a 500,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Mistral NeMo Instruct

  • cost matters — it's about 20.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$2.00 / M
$0.15 / M
Output price
$6.00 / M
$0.15 / M
Context window
500,000
128,000
Released
Aug 2026
Jul 2024
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Grok 4.6 and Mistral NeMo Instructdon'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

Pricing Analysis

Price comparison per million tokens

Mistral NeMo Instruct costs less

For input processing, Grok 4.6 ($2.00/1M tokens) is 13.3x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

For output processing, Grok 4.6 ($6.00/1M tokens) is 40.0x more expensive than Mistral NeMo Instruct ($0.15/1M tokens).

In conclusion, Grok 4.6 is more expensive than Mistral NeMo Instruct.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
xAI
Grok 4.6
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Mistral AI
Mistral NeMo Instruct
Input tokens$0.15
Output tokens$0.15
Best providerGoogle
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Grok 4.6 accepts 500,000 input tokens compared to Mistral NeMo Instruct's 128,000 tokens. Only Mistral NeMo Instruct specifies output context (128,000 tokens).

xAI
Grok 4.6
Input500,000 tokens
Output- tokens
Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok 4.6 supports multimodal inputs, whereas Mistral NeMo Instruct does not.

Grok 4.6 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok 4.6

Text
Images
Audio
Video

Mistral NeMo Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.6 is licensed under a proprietary license, while Mistral NeMo Instruct uses Apache 2.0.

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

Grok 4.6

Proprietary

Closed source

Mistral NeMo Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok 4.6 was released on 2026-08-12, while Mistral NeMo Instruct was released on 2024-07-18.

Grok 4.6 is 25 months newer than Mistral NeMo Instruct.

Grok 4.6

Aug 12, 2026

1 weeks ago

2.1yr newer
Mistral NeMo Instruct

Jul 18, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Grok 4.6 has a documented knowledge cutoff of 2026-02-01, while Mistral NeMo Instruct's cutoff date is not specified.

We can confirm Grok 4.6's training data extends to 2026-02-01, but cannot make a direct comparison without Mistral NeMo Instruct's cutoff date.

Grok 4.6

Feb 2026

Mistral NeMo Instruct

Provider Availability

Grok 4.6 is available from xAI. Mistral NeMo Instruct is available from Google, Mistral AI.

Grok 4.6

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Grok 4.6 and Mistral NeMo Instruct side-by-side, then vote on the output you prefer.

Grok 4.6
✓ Preferred
Mistral NeMo Instruct
Open in Playground

FAQ

Common questions about Grok 4.6 vs Mistral NeMo Instruct.

Which is better, Grok 4.6 or Mistral NeMo Instruct?

Grok 4.6 (xAI) and Mistral NeMo Instruct (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Grok 4.6 compare to Mistral NeMo Instruct in benchmarks?

Grok 4.6 scores CursorBench v3.2: 69.9%, DeepSWE 1.1: 65.9%, FrontierCode: 61.3%, AA-Index: 61.0%, GDPval-AA: 58.4%. Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%.

Is Grok 4.6 cheaper than Mistral NeMo Instruct?

Mistral NeMo Instruct is 13.3x cheaper for input tokens. Grok 4.6 costs $2.00/M input and $6.00/M output via xai. Mistral NeMo Instruct costs $0.15/M input and $0.15/M output via google.

What are the context window sizes for Grok 4.6 and Mistral NeMo Instruct?

Grok 4.6 supports 500K tokens and Mistral NeMo Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Grok 4.6 and Mistral NeMo Instruct?

Key differences include context window (500K vs 128K), input pricing ($2.00 vs $0.15/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.6 and Mistral NeMo Instruct?

Grok 4.6 is developed by xAI and Mistral NeMo Instruct is developed by Mistral AI.