Compare / head-to-head

DeepSeek V3.1vsGPT-6 Astra

GPT-6 Astra leads 3 of 3 shared benchmarks. GPT-6 Astra has the larger context window (1.1M tokens).

Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.

Shared benchmarks
0 – 3
GPT-6 Astra leads
Cheaper per token
—
list price, input + output
Larger context
GPT-6 Astra
1.1M tokens
Providers
2 providers
DeepSeek · OpenAI
DeepSeek V3.1
DeepSeek · released 2025-08-21
text
Context
128K
Max out
—
Input /1M
—
Output /1M
—
Cached /1M
—
Scores
18 · 9 core
GPT-6 Astra
OpenAI · released 2026-09-03
textvision
Context
1.1M
Max out
128K
Input /1M
$10 ↗
Output /1M
$50 ↗
Cached /1M
$1
Scores
39 · 9 core
Quality

Benchmark matrix

BenchmarkDeepSeek V3.1GPT-6 AstraΔEdge
Reported by both · 3
LMArena Elo1417.1 ↗1477.1 ↗-60GPT-6 Astra
SimpleBench (SimpleBench)40% ↗86.5% ↗-46.5 ptGPT-6 Astra
WeirdML (Håvard Tveit Ihle)38.4% ↗93.6% ↗-55.2 ptGPT-6 Astra
Only DeepSeek V3.1 reports · 15
Aider-Polyglot (thinking)76.3% ↗not reported——
AIME 2024 (thinking)93.1% ↗not reported——
AIME 2025 (thinking)88.4% ↗not reported——
BrowseComp30% ↗not reported——
GPQA-Diamond (thinking)80.1% ↗not reported——
HMMT 2025 (thinking)84.2% ↗not reported——
Humanity's Last Exam (Python + Search)29.8% ↗not reported——
Humanity's Last Exam (thinking, text-only)15.9% ↗not reported——
LiveCodeBench (2408-2505) (thinking)74.8% ↗not reported——
MMLU-Pro (thinking)84.8% ↗not reported——
MMLU-Redux (thinking)93.7% ↗not reported——
SimpleQA (search agent)93.4% ↗not reported——
SWE Verified (Agent mode)66% ↗not reported——
SWE-bench Multilingual (Agent mode)54.5% ↗not reported——
Terminal-bench (Terminus 1 framework)31.3% ↗not reported——
Only GPT-6 Astra reports · 30
GPQA Diamondnot reported96% ↗——
APEX-Agents (Mercor)not reported64.7% ↗——
AutomationBench 1.0.6not reported41.4% ↗——
BALROG (BALROG)not reported68.3% ↗——
Chess Puzzles (Epoch AI run)not reported72% ↗epoch run——
DeepSWE v1.1 (Datacurve)not reported74.1% ↗——
EBR-bench (Epoch AI run)not reported76.2% ↗epoch run——
FrontierMath Tier 4 v2 (Epoch AI run)not reported97.6% ↗epoch run——
FrontierMath Tiers 1-3 v2 (Epoch AI run)not reported93.7% ↗epoch run——
FrontierSWE V2 (Proximal Labs)not reported65.5% ↗——
Furniture Assembly (Epoch AI run)not reported80% ↗epoch run——
GSO Opt@1 (GSO)not reported77.5% ↗——
LiveBench Agentic Coding (LiveBench)not reported57.3% ↗——
LiveBench Coding (LiveBench)not reported80.4% ↗——
LiveBench Data Analysis (LiveBench)not reported83% ↗——
LiveBench Instruction Following (LiveBench)not reported75.6% ↗——
LiveBench Language (LiveBench)not reported89.4% ↗——
LiveBench Mathematics (LiveBench)not reported96.8% ↗——
LiveBench Reasoning (LiveBench)not reported92.7% ↗——
LMArena Agent (LMArena)not reported0.1227 ↗——
LMArena Vision (LMArena)not reported1284.3 ↗——
LMArena WebDev (LMArena)not reported1787.7 ↗——
MirrorCode (Epoch AI run)not reported46.7% ↗epoch run——
Mystery Game Puzzles (Epoch AI run)not reported84% ↗epoch run——
OTIS Mock AIME 2024-2025 (Epoch AI run)not reported100% ↗epoch run——
SAGE (Vals AI)not reported46.4% ↗——
SimpleQA Verifiednot reported75.6% ↗epoch run——
Terminal-Bench 4.0 (Vals AI)not reported59.6% ↗——
Terminal-Bench Science 0.1not reported64.6% ↗——
Vending-Bench 2 (Andon Labs)not reported15514.7 ↗——
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is DeepSeek V3.1 minus GPT-6 Astra in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing

Side by side

SpecDeepSeek V3.1GPT-6 AstraEdge
Context window128K tokens1.1M tokensGPT-6 Astra
Max output—128K tokens—
Input price / 1M—$10 ↗—
Output price / 1M—$50 ↗—
Cached input / 1M—$1 ↗—
Input + output / 1M
Lower is cheaper. List prices; batch, tool and regional fees excluded.
—$60—
Modalitiestexttext · visionGPT-6 Astra
Released2025-08-212026-09-03—
Cited benchmark scores1839—
Reliability

Provider status

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