Standard Compute
Model comparison 2026

Beam 1.0 vs GPT-5.3-Codex

Beam 1.0
Reflection · Balanced · Open weights
$1.60/1M · 1.0M ctx
GPT-5.3-Codex
OpenAI · Balanced · Proprietary
$5.42/1M · 400K ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality

Correctness and depth of what it produces

Agentic Ability

Tool calls, instruction-following, and multi-step tasks

Speed

Tokens per second and time-to-first-token

Value for Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Beam 1.0
GPT-5.3-Codex
Maker
Reflection
OpenAI
Blended price / 1M
$1.60
$5.42
Input / output
$1.00 in · $3.00 out / 1M tokens
$1.75 in · $14 out / 1M tokens
Context window
1.0M
400K
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.0
6.8
Agentic Ability
5.0
5.1
Speed
7.0
8.0
Value for Money
5.7
5.0
Reliability
8.0
8.4

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Beam 1.0 or GPT-5.3-Codex?

Updated 2026-10-17

Choose Beam 1.0 if you want trying a permissively licensed open-weight coding model through OpenRouter, or self-hosting it where code must stay on your own hardware. Choose GPT-5.3-Codex if you want existing Codex setups on an API key that still pin GPT-5.3-Codex.

In our editorial scoring, GPT-5.3-Codex leads in 3 of five dimensions (agentic ability, speed and reliability), while Beam 1.0 leads in 2. On price, Beam 1.0 runs about $1.60 per 1M tokens (blended) and is open-weight; GPT-5.3-Codex is about $5.42 and proprietary.

Where Beam 1.0 falls short
  • Every published benchmark figure is Reflection's own so far
  • Text only: no image input
Full Beam 1.0 breakdown →
Where GPT-5.3-Codex falls short
  • Deprecated in Codex with ChatGPT sign-in
  • GPT-6.1 Sol scores far higher for about 20% more per request ($0.067 vs $0.055)
Full GPT-5.3-Codex breakdown →

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