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GPT-Rosalind vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 47.8 to 31.6. Grok 4.7 is 3.3x cheaper per token.

OpenAI · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 47.8 to 31.6, ranking #30 overall.

In the 1 individual benchmarks reported for both models, Grok 4.7 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, Grok 4.7 is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-Rosalind

  • you want predictable pricing at $5.00/M input and $25.00/M output

Choose Grok 4.7

  • overall performance matters — it scores 47.8 and ranks #30 on LLM Stats
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • cost matters — it's about 3.3x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

GPT-Rosalind
OpenAI
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
31.6
#126
47.8
#30
Reasoning
31.0
#125
43.5
#47
Agents
21.6
#72
34.5
#24
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$5.00 / M
$2.00 / M
Output price
$25.00 / M
$6.00 / M
Context window
—
500,000

Individual benchmarks

10 reported for GPT-Rosalind · 23 for Grok 4.7

1 shared

GPT-Rosalind outperforms in 0 benchmarks, while Grok 4.7 is better at 1 benchmark (ProtocolQA Open-Ended).

Grok 4.7 significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Grok 4.7 costs less

For input processing, GPT-Rosalind ($5.00/1M tokens) is 2.5x more expensive than Grok 4.7 ($2.00/1M tokens).

For output processing, GPT-Rosalind ($25.00/1M tokens) is 4.2x more expensive than Grok 4.7 ($6.00/1M tokens).

In conclusion, GPT-Rosalind is more expensive than Grok 4.7.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
OpenAI
GPT-Rosalind
Input tokens$5.00
Output tokens$25.00
Best providerOpenAI
xAI
Grok 4.7
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Only Grok 4.7 specifies input context (500,000 tokens).

OpenAI
GPT-Rosalind
Input- tokens
Output- tokens
xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-Rosalind and Grok 4.7 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-Rosalind

Text
Images
Audio
Video

Grok 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-Rosalind

Proprietary

Closed source

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-Rosalind was released on 2026-09-11, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 0 month newer than GPT-Rosalind.

GPT-Rosalind

Sep 11, 2026

3 weeks ago

Grok 4.7

Sep 21, 2026

2 weeks ago

1w newer

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while GPT-Rosalind's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without GPT-Rosalind's cutoff date.

GPT-Rosalind

—

Grok 4.7

Jun 2026

Provider Availability

GPT-Rosalind is available from OpenAI. Grok 4.7 is available from xAI.

GPT-Rosalind

openai logo
OpenAI
Input Price:Input: $5.00/1MOutput Price:Output: $25.00/1M

Grok 4.7

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-Rosalind and Grok 4.7 side-by-side, then vote on the output you prefer.

GPT-Rosalind
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about GPT-Rosalind vs Grok 4.7.

Which is better, GPT-Rosalind or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 47.8 to 31.6. GPT-Rosalind is made by OpenAI and Grok 4.7 is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-Rosalind compare to Grok 4.7 in benchmarks?

GPT-Rosalind scores Biorisk knowledge: 81.1%, Labwork Bench: 63.2%, LifeSciBench: 57.6%, TroubleshootingBench: 53.3%, Multi-select Virology Troubleshooting: 51.2%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

Is GPT-Rosalind cheaper than Grok 4.7?

Grok 4.7 is 2.5x cheaper for input tokens. GPT-Rosalind costs $5.00/M input and $25.00/M output via openai. Grok 4.7 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for GPT-Rosalind and Grok 4.7?

GPT-Rosalind supports an unknown number of tokens and Grok 4.7 supports 500K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-Rosalind and Grok 4.7?

Key differences include LLM Stats Score (31.6 vs 47.8), input pricing ($5.00 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-Rosalind and Grok 4.7?

GPT-Rosalind is developed by OpenAI and Grok 4.7 is developed by xAI.

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