Head to head · tested 27 Oct 2026

GPT-5.3-Codex vs GPT-6 Astra: accuracy, speed and price

Similar accuracy; GPT-5.3-Codex costs less per question.

OpenAIGPT-5.3-Codex82.5% score · #3$0.01 per question95 tok/sOpenAIGPT-6 Astra76.2% score · #12$0.013 per question49 tok/s

Verdict

Built from the measurements below

  • Accuracy is too close to call: GPT-5.3-Codex scored 82.5% and GPT-6 Astra 76.2% on the same 80 questions, a gap within what chance alone could produce.
  • GPT-5.3-Codex is 1.3× cheaper per question as billed ($0.01 vs $0.013), reasoning tokens included.
  • GPT-5.3-Codex generates text 1.9× faster: 95 tokens per second against 49.
  • GPT-6 Astra accepts more context: 1.1M tokens against 400k.

Which should you choose?

Choose GPT-5.3-Codex for the lower cost per correct answer ($0.013 against $0.017) and faster streaming. Choose GPT-6 Astra for shorter outputs (about 205 tokens per question against 699) and a 1.1M-token context window.

Accuracy gap +6.3 points (z = 0.98). A winner is called only when z is at least 1.96, the usual 95% threshold. Speed, latency and price need a 10% margin.

Head to head

Same questions, same prompt, same API

MeasureGPT-5.3-CodexGPT-6 AstraEdge
Verification scoreHigher is better82.5%76.2%Too close to call
Cost per questionLower is better$0.01$0.013GPT-5.3-Codex
Output speedHigher is better9549GPT-5.3-Codex
Time to first tokenLower is better1.4 s1.3 sSimilar
End-to-end response timeLower is better5.2 s8.9 sGPT-5.3-Codex
Tokens per questionLower is better699205GPT-6 Astra
Context windowHigher is better400k1.1MGPT-6 Astra

Side by side

Bars are scaled to the larger of the two values. The winner on each measure is marked in bold.

Every measure

GPT-5.3-Codex first, GPT-6 Astra second

Verification scorehigher is better
GPT-5.3-Codex82.5%
GPT-6 Astra76.2%
Cost per questionlower is better
GPT-5.3-Codex$0.01
GPT-6 Astra$0.013
Output speedhigher is better
GPT-5.3-Codex95
GPT-6 Astra49
Time to first tokenlower is better
GPT-5.3-Codex1.4 s
GPT-6 Astra1.3 s
End-to-end response timelower is better
GPT-5.3-Codex5.2 s
GPT-6 Astra8.9 s
Tokens per questionlower is better
GPT-5.3-Codex699
GPT-6 Astra205
Context windowhigher is better
GPT-5.3-Codex400k
GPT-6 Astra1.1M

Score vs. cost per question

Both models in color, every other model in grey

Most attractive quadrant0255075100$0.00001$0.0001$0.001$0.01$0.10Cost per question (USD, log) →Verification score (%) →Qwen3.8 2.4T A95BCommand AReka Flash 3Gemma 4 26B A4BGemma 4 31BQwen3.5 397B A17BHermes 4 405BGPT-6 AstraGrok 4.7o3gpt-oss-20bMinistral 3 3B 2512Nova Micro 1.0Phi 4Granite 4.2 8BHy3GLM 5.3 FlashSolar Pro 4Trinity Large ThinkingMiniMax M3Mistral Large 4Claude Opus 5.5GPT-6.1 SolGemini 4 ArgonGPT-6 Lunagpt-oss-120bLlama 4 Maverick

Specifications and pricing

From OpenRouter's catalogue, plus the leaderboard's test dates

SpecificationGPT-5.3-CodexGPT-6 Astra
CreatorOpenAIOpenAI
Released24 Feb 20264 Sept 2026
Weights——
ReasoningYesYes
Inputtext, image, filefile, image, text
Outputtexttext
Context window400k tokens1.1M tokens
Knowledge cutoff——
List price in / out per 1M$1.75 / $14$10 / $50
Blended price per 1M (3:1)$4.81$20.00
Cheapest hostAzure · $1.75 / $14OpenAI · $5 / $25
Hosts on OpenRouter23
Last tested27 Oct 202627 Oct 2026

Compare any two models →

GPT-5.3-Codex vs GPT-6 Astra: frequently asked questions

Is GPT-5.3-Codex better than GPT-6 Astra?
On accuracy they are statistically tied: GPT-5.3-Codex scored 82.5% and GPT-6 Astra 76.2% on the same 80 questions from open datasets. Similar accuracy; GPT-5.3-Codex costs less per question.
Which is cheaper, GPT-5.3-Codex or GPT-6 Astra?
GPT-5.3-Codex is cheaper: $0.01 per question as billed, against $0.013. List prices: GPT-5.3-Codex $1.75 in / $14 out, GPT-6 Astra $10 in / $50 out per million tokens.
Which is faster, GPT-5.3-Codex or GPT-6 Astra?
GPT-5.3-Codex is faster at 95 output tokens per second, against 49. Time to first token: 1.4 s for GPT-5.3-Codex, 1.3 s for GPT-6 Astra.
Which has the larger context window, GPT-5.3-Codex or GPT-6 Astra?
GPT-6 Astra, with 1.1M tokens against 400k.