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GPT-4o mini vs GPT-6 Astra

GPT-6 Astra leads the LLM Stats Score 60.7 to 3.8. GPT-4o mini is 76.2x cheaper per token.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-6 Astra leads the overall LLM Stats Score 60.7 to 3.8, ranking #1 overall.

In the 1 individual benchmarks reported for both models, GPT-6 Astra wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, GPT-4o mini is roughly 76.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Astra also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose GPT-4o mini

  • cost matters — it's about 76.2x cheaper per token

Choose GPT-6 Astra

  • overall performance matters — it scores 60.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
3.8
#295
60.7
#1
4.2
#285
58.7
#1
-0.4
#236
49.0
#1
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.15 / M
$10.00 / M
Output price
$0.60 / M
$50.00 / M
Context window
128,000
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GPT-4o mini
GPT-6 Astra
11.8#233
35.3#42
0.0#179
41.5#1
2.9#141
38.6#3
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for GPT-4o mini · 22 for GPT-6 Astra

1 shared

GPT-4o mini outperforms in 0 benchmarks, while GPT-6 Astra is better at 1 benchmark (GPQA).

GPT-6 Astra significantly outperforms across most benchmarks.

Fri Sep 04 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 66.7x cheaper than GPT-6 Astra ($10.00/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 83.3x cheaper than GPT-6 Astra ($50.00/1M tokens).

In conclusion, GPT-6 Astra is more expensive than GPT-4o mini.*

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

Lowest available price from all providers
Fri Sep 04 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
OpenAI
GPT-6 Astra
Input tokens$10.00
Output tokens$50.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-6 Astra accepts 1,050,000 input tokens compared to GPT-4o mini's 128,000 tokens. GPT-6 Astra can generate longer responses up to 128,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
OpenAI
GPT-6 Astra
Input1,050,000 tokens
Output128,000 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4o mini and GPT-6 Astra support multimodal inputs.

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

GPT-4o mini

Text
Images
Audio
Video

GPT-6 Astra

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-4o mini

Proprietary

Closed source

GPT-6 Astra

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while GPT-6 Astra was released on 2026-09-03.

GPT-6 Astra is 26 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.1 years ago

GPT-6 Astra

Sep 3, 2026

0 days ago

2.1yr newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a knowledge cutoff of 2023-10-01, while GPT-6 Astra has a cutoff of 2026-04-30.

GPT-6 Astra has more recent training data (up to 2026-04-30), making it potentially better informed about events through that date compared to GPT-4o mini (2023-10-01).

GPT-4o mini

Oct 2023

GPT-6 Astra

Apr 2026

2.5 yr newer

Provider Availability

GPT-4o mini is available from Azure. GPT-6 Astra is available from OpenAI.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

GPT-6 Astra

openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M
* 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 GPT-4o mini and GPT-6 Astra side-by-side, then vote on the output you prefer.

GPT-4o mini
✓ Preferred
GPT-6 Astra
Open in Playground

FAQ

Common questions about GPT-4o mini vs GPT-6 Astra.

Which is better, GPT-4o mini or GPT-6 Astra?

GPT-6 Astra leads the LLM Stats Score 60.7 to 3.8. GPT-4o mini is made by OpenAI and GPT-6 Astra is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4o mini compare to GPT-6 Astra in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. GPT-6 Astra scores ExploitBench: 100.0%, ARC-AGI-3: 99.9%, ARC-AGI: 98.5%, FrontierMath Tier 4 (v2): 97.6%, GPQA: 96.0%.

Is GPT-4o mini cheaper than GPT-6 Astra?

GPT-4o mini is 66.7x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. GPT-6 Astra costs $10.00/M input and $50.00/M output via openai.

What are the context window sizes for GPT-4o mini and GPT-6 Astra?

GPT-4o mini supports 128K tokens and GPT-6 Astra supports 1.1M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4o mini and GPT-6 Astra?

Key differences include LLM Stats Score (3.8 vs 60.7), context window (128K vs 1.1M), input pricing ($0.15 vs $10.00/M). See the full comparison above for benchmark-by-benchmark results.