Standard Compute
Model comparison 2026

Beam 1.0 vs DeepSeek V3.2

Beam 1.0
Reflection · Balanced · Open weights
$1.60/1M · 1.0M ctx
DeepSeek V3.2
DeepSeek · Balanced · Open weights
$0.42/1M · 164K 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
DeepSeek V3.2
Maker
Reflection
DeepSeek
Blended price / 1M
$1.60
$0.42
Input / output
$1.00 in · $3.00 out / 1M tokens
$0.26 in · $0.80 out / 1M tokens
Context window
1.0M
164K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.0
5.2
Agentic Ability
5.0
4.7
Speed
7.0
7.8
Value for Money
5.7
6.3
Reliability
8.0
8.4

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

Verdict: Beam 1.0 or DeepSeek V3.2?

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 DeepSeek V3.2 if you want existing V3.2 setups with short prompts.

In our editorial scoring, DeepSeek V3.2 leads in 3 of five dimensions (speed, value for money 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; DeepSeek V3.2 is about $0.42 and open-weight.

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 DeepSeek V3.2 falls short
  • 164K context, smaller than 27.9% of the coding-agent requests we measured
  • Superseded by DeepSeek V4.1 Flash, which scores higher for less
Full DeepSeek V3.2 breakdown →

The agent matters as much as the model. Compare AI agents →

Current Claude, GPT, Gemini and open models run on Standard Compute

Standard Compute

Current frontier models Claude Fable 5.1 · GPT-6 Astra

More intelligence
per dollar.

Each step goes to the cheapest model that can do it, on providers we vet for price, uptime and speed, with automatic fallback when one fails.

Compliance
Opt-in rules keep a company, team or key on European or US providers
Privacy
We don’t train on your prompts or store them

Fixed monthly plans from $19 · cancel anytime

7-day fair refund Free trial, no card Billing by Stripe3,500+ agent users

Related comparisons