AI Flash Report

Gemini 3.1 Pro vs GPT-5.3 Codex: Benchmarks, Pricing & Capabilities Compared

TL;DR — Gemini 3.1 Pro wins for long-context · GPT-5.3 Codex wins for coding + cost.

Released
2026-02-19
Context window
2M tokens
Input price
$2.50 / Mtok
Output price
$10.00 / Mtok
Key features
  • 2x reasoning improvement
  • ARC-AGI-2 score of 77.1%
  • Enhanced multimodal understanding
GPT-5.3 Codex OpenAI
Released
2026-02-05
Context window
400K tokens
Input price
$1.25 / Mtok
Output price
$10.00 / Mtok
Key features
  • Self-improving agentic coding
  • 25% faster than GPT-5.2-Codex
  • 1,000+ tokens/sec generation

Benchmark comparison

Benchmark Gemini 3.1 Pro GPT-5.3 Codex
LiveCodeBench 78.9% 84.2%
SWE-bench Verified 72.3% 82.4%

Pricing comparison

Metric Gemini 3.1 Pro GPT-5.3 Codex
Input ($/Mtok) $2.50 $1.25
Output ($/Mtok) $10.00 $10.00
Cached input ($/Mtok) $0.25 $0.13
Cost per 1M-token roundtrip (1M in + 1M out) $12.50 $11.25

Context window & modalities

Attribute Gemini 3.1 Pro GPT-5.3 Codex
Context window 2M tokens 400K tokens
Input modalities text, image, audio, video, PDF text, image
Output modalities text text
Knowledge cutoff 2025-12 2025-11

Verdict by use case

Coding
→ GPT-5.3 Codex
Basis: SWE-bench

Gemini 3.1 Pro 72.3% vs GPT-5.3 Codex 82.4% on SWE-bench.

Reasoning
Insufficient data
Basis: GPQA / MMLU

No shared reasoning benchmark.

Math
Insufficient data
Basis: MATH / AIME

No shared math benchmark.

Long context
→ Gemini 3.1 Pro
Basis: Context window

Gemini 3.1 Pro 2M tokens vs GPT-5.3 Codex 400K tokens.

Cost
→ GPT-5.3 Codex
Basis: Input $/Mtok

Gemini 3.1 Pro $2.5/Mtok vs GPT-5.3 Codex $1.25/Mtok input.

Changelog & releases

Gemini 3.1 Pro
Released 2026-02-19
Predecessor: google-gemini-3-pro
  • 2x reasoning score on ARC-AGI-2 vs Gemini 3 Pro
  • Context window expanded to 2M tokens
  • Deep Think mode enabled by default on the Pro tier
  • Lower latency on first-token despite larger context
GPT-5.3 Codex
Released 2026-02-05
Predecessor: openai-gpt-5-2-codex
  • +4pt on SWE-bench Verified vs GPT-5.2 Codex
  • Native IDE tool-calling at reduced latency
  • Extended max output to 100K for multi-file patches

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