What is the difference between OpenAI Codex Mini and Qwen3.5 122B A10B?

OpenAI Codex Mini is developed by OpenAI while Qwen3.5 122B A10B is developed by Qwen. OpenAI Codex Mini has a 200K token context window vs Qwen3.5 122B A10B's 262K. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

Which is better, OpenAI Codex Mini or Qwen3.5 122B A10B?

It depends on your use case. OpenAI Codex Mini and Qwen3.5 122B A10B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

How much does OpenAI Codex Mini cost compared to Qwen3.5 122B A10B?

OpenAI Codex Mini costs $1.5/M input tokens and Qwen3.5 122B A10B costs $0.4/M input tokens. Qwen3.5 122B A10B is $1.10/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare OpenAI Codex Mini and Qwen3.5 122B A10B on Rival?

This page shows a side-by-side comparison of OpenAI Codex Mini and Qwen3.5 122B A10B across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

What is the difference between OpenAI Codex Mini and Qwen3.5 122B A10B?

OpenAI Codex Mini is developed by OpenAI while Qwen3.5 122B A10B is developed by Qwen. OpenAI Codex Mini has a 200K token context window vs Qwen3.5 122B A10B's 262K. You can compare their actual outputs across 10 challenges on Rival to see how they differ in practice.

Which is better, OpenAI Codex Mini or Qwen3.5 122B A10B?

It depends on your use case. OpenAI Codex Mini and Qwen3.5 122B A10B each have strengths in different areas. Rival lets you compare their real outputs side-by-side across 10 challenges so you can judge which fits your needs best.

How much does OpenAI Codex Mini cost compared to Qwen3.5 122B A10B?

OpenAI Codex Mini costs $1.5/M input tokens and Qwen3.5 122B A10B costs $0.4/M input tokens. Qwen3.5 122B A10B is $1.10/M cheaper per input. Check their side-by-side outputs on Rival to see if the price difference is justified by quality.

How can I compare OpenAI Codex Mini and Qwen3.5 122B A10B on Rival?

This page shows a side-by-side comparison of OpenAI Codex Mini and Qwen3.5 122B A10B across shared challenges. You can vote on which model produced the better output in a blind duel. Browsing and voting are free. No account is needed to look; signing in only saves your votes and likes.

Updated Feb 2026

OpenAI Codex MinivsQwen3.5 122B A10B

Qwen3.5 122B A10B is cheaper than OpenAI Codex Mini at $0.4/M vs $1.5/M input tokens.

OpenAI Codex Mini and Qwen3.5 122B A10B compared across 10 shared prompts
Spec	OpenAI Codex Mini	Qwen3.5 122B A10B
Input price	$1.5/M tokens	$0.4/M tokens
Output price	$6/M tokens	$3.2/M tokens
Context window	200K tokens	262K tokens
Released	May 2025	Feb 2026
SWE-bench Verified	71.3%	72.0%

Our Verdict

Qwen3.5 122B A10B

OpenAI Codex MiniRunner-up

Not enough votes to call it. On the specs, Qwen3.5 122B A10B has the edge: bigger model tier, newer.

Too close to call

What do OpenAI Codex Mini and Qwen3.5 122B A10B say about your brand?

10 models, one question, verbatim receipts.

or peek at a demo: Notion Linear Vercel

API pricing

Cost per 1M tokens

OpenAI Codex Mini

Input

$1.50

Output

$6.00

Qwen3.5 122B A10B

Input

$0.40

3.8× cheaper

Output

$3.20

1.9× cheaper

Qwen3.5 122B A10B is cheaper on both — 3.8× input, 1.9× output

Research

What we learned reading every model

FAQ

Common questions

Keep exploring

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Updated Feb 2026

OpenAI Codex MinivsQwen3.5 122B A10B

Qwen3.5 122B A10B is cheaper than OpenAI Codex Mini at $0.4/M vs $1.5/M input tokens.

OpenAI Codex Mini and Qwen3.5 122B A10B compared across 10 shared prompts
Spec	OpenAI Codex Mini	Qwen3.5 122B A10B
Input price	$1.5/M tokens	$0.4/M tokens
Output price	$6/M tokens	$3.2/M tokens
Context window	200K tokens	262K tokens
Released	May 2025	Feb 2026
SWE-bench Verified	71.3%	72.0%