Standard Compute
Model comparison 2026

Beam 1.0 vs Claude Haiku 5.5

Beam 1.0
Reflection · Balanced · Open weights
$1.60/1M · 1.0M ctx
Claude Haiku 5.5
Anthropic · Budget · Proprietary
$0.22/1M · 1M 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
Haiku 5.5
Maker
Reflection
Anthropic
Blended price / 1M
$1.60
$0.22
Input / output
$1.00 in · $3.00 out / 1M tokens
$0.10 in · $0.50 out / 1M tokens
Context window
1.0M
1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.0
8.2
Agentic Ability
5.0
7.6
Speed
7.0
9.5
Value for Money
5.7
8.4
Reliability
8.0
9.2

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

Verdict: Beam 1.0 or Haiku 5.5?

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 Claude Haiku 5.5 if you want subagents, routing and high-volume steps that stay under 100K tokens per request.

In our editorial scoring, Claude Haiku 5.5 leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while Beam 1.0 leads in 0. On price, Beam 1.0 runs about $1.60 per 1M tokens (blended) and is open-weight; Claude Haiku 5.5 is about $0.22 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 Haiku 5.5 falls short
  • Prompts over 100K tokens cost 5x on the whole request, and 49.7% of the coding-agent requests we measured were that large
  • New tokenizer counts about 30% more tokens than Haiku 4.5 for the same text
Full Haiku 5.5 breakdown →

Setting it up? Claude Haiku 5.5: model ID, providers and agent config

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

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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.

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