API cost decision in 10 seconds

NewBeam 1.0 501B A23B vs NewPareto 26.10

Pick Pareto 26.10 when budget is the priority.

Page updated: 2026-10-17T22:07:28Z Data confirmed: 2026-10-18T00:07:29Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Pareto 26.10 when budget is the priority.

On the standard 1M input plus 500K output workload, Pareto 26.10 is estimated at $2.4 vs $2.5 for Beam 1.0 501B A23B, saving $0.1 (4% lower).

Cost-first pickPareto 26.10

Context-first pickBoth models

Sample savings$0.14%

10x traffic gap$1

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors Pareto 26.10, balanced workload favors Tie, and output-heavy chatbot favors Beam 1.0 501B A23B.

Workload shape	Token mix	Better pick	Beam 1.0 501B A23B	Pareto 26.10
Input-heavy / RAG	5M input + 500K output	Pareto 26.10	$6.5	$5.6
Balanced workload	1M input + 1M output	Tie	$4	$4
Output-heavy chatbot	1M input + 5M output	Beam 1.0 501B A23B	$16	$16.8

Cheaper input Pareto 26.10 $1 vs $0.8 / 1M

Pareto 26.10 is $0.2 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Beam 1.0 501B A23B $3 vs $3.2 / 1M

Beam 1.0 501B A23B is $0.2 cheaper per 1M output tokens (6.3% lower; 1.07x difference).

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload Pareto 26.10 $2.5 vs $2.4

Pareto 26.10 is $0.1 cheaper on the standard workload (4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Beam 1.0 501B A23B Calculating… Estimated API cost

Pareto 26.10 Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Pareto 26.10 has the lower input price; Beam 1.0 501B A23B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Pareto 26.10 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for Beam 1.0 501B A23B and $2.4 for Pareto 26.10.

Best Fit

Choose Beam 1.0 501B A23B when you care most about lower output-token price.

Choose Pareto 26.10 when you care most about lower input-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Pareto 26.10 is estimated at $2.4 vs $2.5 for Beam 1.0 501B A23B, saving $0.1 (4% lower).
Pareto 26.10 is $0.1 cheaper on the standard workload (4% lower).
Pareto 26.10 is $0.2 cheaper per 1M input tokens (20% lower; 1.25x difference).
Beam 1.0 501B A23B is $0.2 cheaper per 1M output tokens (6.3% lower; 1.07x difference).
Both models report the same context window at 1.05M tokens.

Head-to-Head Specs

Feature	NewBeam 1.0 501B A23B (Reflection)	NewPareto 26.10 (unbiased)
Input Price prompt tokens per 1M	$1	$0.8
Completion Price per 1M tokens	$3	$3.2
Sample Workload Cost 1M input + 500K output	$2.5	$2.4
Context Window	1.05M	1.05M
Release Date	2026-10-16	2026-10-15

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Pareto 26.10	On the standard 1M input plus 500K output workload, Pareto 26.10 is estimated at $2.4 vs $2.5 for Beam 1.0 501B A23B, saving $0.1 (4% lower).
High-volume input processing	Pareto 26.10	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Beam 1.0 501B A23B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

Larger context near this budget

Grok 4.20 Multi-Agent offers 2M context with $2.5 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.

Popular competitors

DeepSeek V4.1 Flash · DeepSeek · #1
Step 5 Preview · StepFun · #2
GLM 5.3 Flash · Z.ai · #3
MiMo-V2.6-Flash · Xiaomi · #4

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Reflection catalog

Review all tracked Reflection models before deciding whether this matchup is the right shortlist.

Open Reflection models

unbiased catalog

Check other unbiased models with comparable pricing, context, or release timing.

Open unbiased models

Beam 1.0 501B A23B

Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows. It uses a sparse mixture-of-experts architecture with 501B total and 23B active parameters per token, and a...

Pareto 26.10

Pareto is a multimodal composite model built for research, coding, and agentic workflows, while delivering frontier-level performance across a broad range of general-purpose tasks.