Loading benchmark catalogue
Compare performance benchmarks, coding intelligence, reasoning evaluations, context limits, and API economics between Mistral Large 4 (Mistral AI) and Beam 1.0 501B A23B (Reflection AI).
| Metric / Capability | Mistral Large 4 | Beam 1.0 501B A23B |
|---|---|---|
| Developer / Organization | Mistral AI | Reflection AI |
| Release Date | 2026-10-06 | 2026-10-16 |
| Deployment / Weights | Proprietary Cloud API | Open Weights |
| Context Window | 1.0M tokens (1,048,576 tokens) | 1.0M tokens (1,048,576 tokens) |
| Input Pricing (/1M Tokens) | $1.36 | Free (Open Weights) |
| Output Pricing (/1M Tokens) | $4.18 | Free (Open Weights) |
| Benchmark / Domain | Mistral Large 4 | Beam 1.0 501B A23B | Advantage |
|---|---|---|---|
Artificial Analysis Intelligence Index Composite index aggregating 10+ evaluations of general reasoning and knowledge. | 38.4% | — | — |
SWE-bench Pro Harder, contamination-resistant successor to SWE-bench spanning multiple languages. | — | 66.1% | — |
GPQA Diamond Graduate-level physics, chemistry, and biology questions written by domain experts. | — | 90.6% | — |
Humanity's Last Exam Expert-written questions across hundreds of disciplines designed to resist saturation. | — | 36.0% | — |
Design Arena ELO Human-preference ELO across UI, 3D, data-visualization, and game-dev generations. | 1275 | 1227 | Mistral Large 4 (+4%) |
Mistral Large 4 leads across 1 evaluated benchmarks compared to 0 for Beam 1.0 501B A23B, showing notable advantages in Design Arena ELO.
Both models feature equivalent context windows of 1.0M tokens (1,048,576 tokens).
Beam 1.0 501B A23B is more economical. Input tokens cost $Free (Open Weights)/M tokens compared to $1.36/M tokens for Mistral Large 4.
Mistral Large 4 is a proprietary cloud API. Beam 1.0 501B A23B is an open-weights model.
Analyze 130+ models side-by-side using interactive radar charts, cost-efficiency quadrant plots, and live dataset filters on the full NeuBench index.
Open Interactive Comparator