DeepSeek V3.2 Exp vs GPT-6 Astra
As of Oct 14, 2026, DeepSeek V3.2 Exp leads GPT-6 Astra in 0 of 5 shared categories.
DeepSeek V3.2 Exp
It used to be. Was SOTA in Reasoning.
GPT-6 Astra
Yes. SOTA in Math and co-SOTA in Vision.
| Category | DeepSeek V3.2 Exp | GPT-6 Astra |
|---|---|---|
| General LLM | #91 · #91 in General LLM Margin 61.904761904761905 LMArena leaderboard dataset · Oct 13, 2026 | #25 · #25 in General LLM Margin 17.006802721088434 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #81 · #81 in Reasoning Margin 56.16438356164384 LMArena leaderboard dataset · Oct 13, 2026 | #23 · #23 in Reasoning Margin 16.438356164383563 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #1 · SOTA · Math Margin 0 Epoch AI benchmarking hub · Sep 3, 2026 |
| Science | — | #2 · #2 in Science Margin — Epoch AI benchmarking hub · Sep 3, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #2 · Near-SOTA · Coding Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #2 · Near-SOTA · Coding › Agentic Margin 13.63636363636364 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | #98 · #98 in Coding › Web dev Margin 90.65420560747664 LMArena leaderboard dataset · Oct 13, 2026 | #2 · Near-SOTA · Coding › Web dev Margin 0.9345794392523317 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #81 · Was SOTA · Long context Margin 55.10204081632653 LMArena leaderboard dataset · Oct 13, 2026 | #22 · #22 in Long context Margin 14.965986394557817 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | — | #1 · Co-SOTA · Vision Margin 0 Epoch AI benchmarking hub · Sep 3, 2026 |
| Factuality | #73 · #73 in Factuality Margin 55.223880597014926 LMArena leaderboard dataset · Oct 13, 2026 | #25 · #25 in Factuality Margin 19.402985074626883 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | — | #1 · #1 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Sep 3, 2026 |
DeepSeek V3.2 Exp: $0.30500000000000005 per 1M blended tokens.
GPT-6 Astra: $20 per 1M blended tokens.
DeepSeek V3.2 Exp: open weights.
GPT-6 Astra: closed weights.
General LLM: As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in General LLM at #25 against #91.
Reasoning: As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in Reasoning at #23 against #81.
Coding › Web dev: As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in Coding › Web dev at #2 against #98.
Long context: As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in Long context at #22 against #81.
Factuality: As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in Factuality at #25 against #73.
DeepSeek V3.2 Exp · GPT-6 Astra
DeepSeek V3.2 Exp or GPT-6 Astra?
As of Oct 14, 2026, DeepSeek V3.2 Exp leads GPT-6 Astra in 0 of 5 shared categories.
DeepSeek V3.2 Exp or GPT-6 Astra for General LLM?
As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in General LLM at #25 against #91.
DeepSeek V3.2 Exp or GPT-6 Astra for Reasoning?
As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in Reasoning at #23 against #81.
DeepSeek V3.2 Exp or GPT-6 Astra for Coding › Web dev?
As of Oct 14, 2026, GPT-6 Astra leads DeepSeek V3.2 Exp in Coding › Web dev at #2 against #98.