GPT-5.3 Codex vs Ling 3.0 Flash
GPT-5.3 Codex and Ling 3.0 Flash are closely matched at 36.6 and 36.5 on the LLM Stats Score. Ling 3.0 Flash is 53.5x cheaper per token.
OpenAI · InclusionAI · Updated for 2026
Which is better?
GPT-5.3 Codex and Ling 3.0 Flash are closely matched on the overall LLM Stats Score at 36.6 and 36.5.
In the 1 individual benchmarks reported for both models, GPT-5.3 Codex wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Ling 3.0 Flash is roughly 53.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.3 Codex also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-5.3 Codex
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 400,000 token context window
Choose Ling 3.0 Flash
- cost matters — it's about 53.5x cheaper per token
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Individual benchmarks
6 reported for GPT-5.3 Codex · 19 for Ling 3.0 Flash
GPT-5.3 Codex outperforms in 1 benchmarks (SWE-Bench Pro), while Ling 3.0 Flash is better at 0 benchmarks.
GPT-5.3 Codex significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.3 Codex ($1.75/1M tokens) is 29.2x more expensive than Ling 3.0 Flash ($0.06/1M tokens).
For output processing, GPT-5.3 Codex ($14.00/1M tokens) is 77.8x more expensive than Ling 3.0 Flash ($0.18/1M tokens).
In conclusion, GPT-5.3 Codex is more expensive than Ling 3.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.3 Codex accepts 400,000 input tokens compared to Ling 3.0 Flash's 131,072 tokens. Ling 3.0 Flash can generate longer responses up to 131,072 tokens, while GPT-5.3 Codex is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.3 Codex supports multimodal inputs, whereas Ling 3.0 Flash does not.
GPT-5.3 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.3 Codex
Ling 3.0 Flash
Release Timeline
When each model was launched
GPT-5.3 Codex was released on 2026-02-05, while Ling 3.0 Flash was released on 2026-08-04.
Ling 3.0 Flash is 6 months newer than GPT-5.3 Codex.
Feb 5, 2026
7 months ago
Aug 4, 2026
1 months ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.3 Codex is available from OpenAI. Ling 3.0 Flash is available from DeepInfra.
GPT-5.3 Codex
Ling 3.0 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.3 Codex and Ling 3.0 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.3 Codex vs Ling 3.0 Flash.