Model comparison 2026

Beam 1.0 vs Mistral Large 4

Beam 1.0
Reflection · Balanced · Open weights
$1.60/1M · 1.0M ctx
Mistral Large 4
Mistral · Balanced · Open weights
$1.10/1M · 1.0M 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
Mistral Large 4
Maker
Reflection
Mistral
Blended price / 1M
$1.60
$1.10
Input / output
$1.00 in · $3.00 out / 1M tokens
$0.68 in · $2.09 out / 1M tokens
Context window
1.0M
1.0M
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.0
7.6
Agentic Ability
5.0
7.1
Speed
7.0
7.0
Value for Money
5.7
5.9
Reliability
8.0
8.8

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

Verdict: Beam 1.0 or Mistral Large 4?

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 Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.

In our editorial scoring, Mistral Large 4 leads in 4 of five dimensions (output quality, agentic ability, 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; Mistral Large 4 is about $1.10 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 Mistral Large 4 falls short
  • Still a public preview, so behavior and price can change
  • 26.8% in Artificial Analysis's Terminal-Bench 4.0 run, well below the frontier models
Full Mistral Large 4 breakdown →

Setting it up? Mistral Large 4: model ID, providers and agent config

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