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GPT-5.3-Codex vs Mistral Large 4

Detailed technical comparison between GPT-5.3-Codex (OpenAI) and Mistral Large 4 (Mistral). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

GPT-5.3-Codex: 6 WinsvsMistral Large 4: 0 Wins
Context Leader

Mistral Large 4

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Mistral Large 4

$0.68 / MTok
OpenAIactive

GPT-5.3-Codex

GPT-5.3-Codex is an advanced artificial intelligence model engineered by OpenAI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GPT-5.3-Codex represents a key architectural iteration in the OpenAI model family. First released in 2026-02-24, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 400,000 tokens (approximately 533 words), GPT-5.3-Codex processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GPT-5.3-Codex Full Specs →
Mistralactive

Mistral Large 4

Mistral Large 4 is an advanced artificial intelligence model engineered by Mistral. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Mistral Large 4 represents a key architectural iteration in the Mistral model family. First released in 2026-10-06, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Mistral Large 4 processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Mistral Large 4 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGPT-5.3-CodexMistral Large 4
ProviderOpenAIMistral
Context Window400,000 tokens1,048,576 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-02-242026-10-06

API Pricing Comparison

Input Price per Million Tokens

GPT-5.3-Codex

$1.75

Mistral Large 4

$0.68

Output Price per Million Tokens

GPT-5.3-Codex

$14.00

Mistral Large 4

$2.09

💡 Cost Ratio: Mistral Large 4 is 2.6x cheaper per input token than GPT-5.3-Codex.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
93.4%vs85.8%+7.6% GPT-5.3-Codex
GPT-5.3-Codex 🏆
Mistral Large 4
HumanEvalPython coding & logic synthesis
98.5%vs85.0%+13.5% GPT-5.3-Codex
GPT-5.3-Codex 🏆
Mistral Large 4
MATHComplex mathematical problem solving
91.8%vs66.2%+25.6% GPT-5.3-Codex
GPT-5.3-Codex 🏆
Mistral Large 4
GPQAGraduate-level expert reasoning
81.2%vs47.6%+33.6% GPT-5.3-Codex
GPT-5.3-Codex 🏆
Mistral Large 4
HellaSwagCommonsense reasoning and inference
98.2%vs86.8%+11.4% GPT-5.3-Codex
GPT-5.3-Codex 🏆
Mistral Large 4
MT-BenchMulti-turn conversation flow quality
9.5%vs8.9%+0.6% GPT-5.3-Codex
GPT-5.3-Codex 🏆
Mistral Large 4

GPT-5.3-Codex Quirks & Gotchas

No developer gotchas reported.

Mistral Large 4 Quirks & Gotchas

No developer gotchas reported.

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