Compare · 2026-10-14

GPT-6 Astra vs GPT-6 Sol

As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in 10 of 10 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, Factuality, and Abstraction (ARC).

CategoryGPT-6 AstraGPT-6 Sol
General LLM
#25 · #25 in General LLM
Margin 17.006802721088434
LMArena leaderboard dataset · Oct 13, 2026
#43 · #43 in General LLM
Margin 29.25170068027211
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#23 · #23 in Reasoning
Margin 16.438356164383563
LMArena leaderboard dataset · Oct 13, 2026
#39 · #39 in Reasoning
Margin 27.397260273972606
LMArena leaderboard dataset · Oct 13, 2026
Math
#1 · SOTA · Math
Margin 0
Epoch AI benchmarking hub · Sep 3, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science
#2 · #2 in Science
Margin —
Epoch AI benchmarking hub · Sep 3, 2026
#8 · #8 in Science
Margin —
Epoch AI benchmarking hub · Sep 22, 2026
Coding
#2 · Near-SOTA · Coding
Margin 13.63636363636364
Terminal-Bench Harbor Hub · Oct 6, 2026
#5 · #5 in Coding
Margin 27.272727272727266
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Agentic
#2 · Near-SOTA · Coding › Agentic
Margin 13.63636363636364
Terminal-Bench Harbor Hub · Oct 6, 2026
#5 · #5 in Coding › Agentic
Margin 27.272727272727266
Terminal-Bench Harbor Hub · Oct 6, 2026
Coding › Web dev
#2 · Near-SOTA · Coding › Web dev
Margin 0.9345794392523317
LMArena leaderboard dataset · Oct 13, 2026
#7 · #7 in Coding › Web dev
Margin 5.607476635514018
LMArena leaderboard dataset · Oct 13, 2026
Long context
#22 · #22 in Long context
Margin 14.965986394557817
LMArena leaderboard dataset · Oct 13, 2026
#49 · #49 in Long context
Margin 33.33333333333333
LMArena leaderboard dataset · Oct 13, 2026
Vision
#1 · Co-SOTA · Vision
Margin 0
Epoch AI benchmarking hub · Sep 3, 2026
#9 · #9 in Vision
Margin 26.315789473684205
Epoch AI benchmarking hub · Sep 22, 2026
Factuality
#25 · #25 in Factuality
Margin 19.402985074626883
LMArena leaderboard dataset · Oct 13, 2026
#70 · #70 in Factuality
Margin 52.985074626865675
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#1 · #1 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Sep 3, 2026
#6 · #6 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Sep 22, 2026
Price per 1M tokens

GPT-6 Astra: $20 per 1M blended tokens.

GPT-6 Sol: $4.000000000000001 per 1M blended tokens.

Open weights

GPT-6 Astra: closed weights.

GPT-6 Sol: closed weights.

Which to pick

General LLM: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in General LLM at #25 against #43.

Reasoning: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Reasoning at #23 against #39.

Science: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Science at #2 against #8.

Coding: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Coding at #2 against #5.

Coding › Agentic: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Coding › Agentic at #2 against #5.

Coding › Web dev: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Coding › Web dev at #2 against #7.

Long context: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Long context at #22 against #49.

Vision: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Vision at #1 against #9.

Factuality: As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Factuality at #25 against #70.

Abstraction (ARC): As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Abstraction (ARC) at #1 against #6.

GPT-6 Astra · GPT-6 Sol

GPT-6 Astra or GPT-6 Sol?

As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in 10 of 10 shared categories: General LLM, Reasoning, Science, Coding, Coding › Agentic, Coding › Web dev, Long context, Vision, Factuality, and Abstraction (ARC).

GPT-6 Astra or GPT-6 Sol for General LLM?

As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in General LLM at #25 against #43.

GPT-6 Astra or GPT-6 Sol for Reasoning?

As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Reasoning at #23 against #39.

GPT-6 Astra or GPT-6 Sol for Science?

As of Oct 14, 2026, GPT-6 Astra leads GPT-6 Sol in Science at #2 against #8.