API cost decision in 10 seconds

NewPareto vs GPT-5.6 Sol

Pick Pareto for lower cost; pick GPT-5.6 Sol only if the larger context window matters more.

Page updated: 2026-09-17T23:07:51Z Data confirmed: 2026-09-18T00:07:56Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Pareto for lower cost; pick GPT-5.6 Sol only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Pareto is estimated at $6.25 vs $7 for GPT-5.6 Sol, saving $0.75 (10.7% lower).

Cost-first pickPareto

Context-first pickGPT-5.6 Sol

Sample savings$0.7510.7%

10x traffic gap$7.5

GPT-5.6 Sol has more context, but Pareto saves $0.75 on the standard workload. At 10x that traffic, the same price gap is about $7.5. 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 GPT-5.6 Sol, balanced workload favors Pareto, and output-heavy chatbot favors Pareto.

Workload shape	Token mix	Better pick	Pareto	GPT-5.6 Sol
Input-heavy / RAG	5M input + 500K output	GPT-5.6 Sol	$16.25	$15
Balanced workload	1M input + 1M output	Pareto	$10	$12
Output-heavy chatbot	1M input + 5M output	Pareto	$40	$52

Cheaper input GPT-5.6 Sol $2.5 vs $2 / 1M

GPT-5.6 Sol is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Pareto $7.5 vs $10 / 1M

Pareto is $2.5 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context GPT-5.6 Sol 262.14K vs 1.05M

GPT-5.6 Sol has 787.86K more context (4.01x larger).

Sample workload Pareto $6.25 vs $7

Pareto is $0.75 cheaper on the standard workload (10.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Pareto Calculating… Estimated API cost

GPT-5.6 Sol 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

GPT-5.6 Sol has the lower input price; Pareto has the lower output price; GPT-5.6 Sol offers the larger context window. For the 1M input plus 500K output sample, Pareto is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $6.25 for Pareto and $7 for GPT-5.6 Sol.

Best Fit

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

Choose GPT-5.6 Sol when you care most about lower input-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, Pareto is estimated at $6.25 vs $7 for GPT-5.6 Sol, saving $0.75 (10.7% lower).
Pareto is $0.75 cheaper on the standard workload (10.7% lower).
GPT-5.6 Sol is $0.5 cheaper per 1M input tokens (20% lower; 1.25x difference).
Pareto is $2.5 cheaper per 1M output tokens (25% lower; 1.33x difference).
GPT-5.6 Sol has 787.86K more context (4.01x larger).

Head-to-Head Specs

Feature	NewPareto (unbiased)	GPT-5.6 Sol (OpenAI)
Input Price prompt tokens per 1M	$2.5	$2
Completion Price per 1M tokens	$7.5	$10
Sample Workload Cost 1M input + 500K output	$6.25	$7
Context Window	262.14K	1.05M
Release Date	2026-09-17	2026-07-09

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Pareto	On the standard 1M input plus 500K output workload, Pareto is estimated at $6.25 vs $7 for GPT-5.6 Sol, saving $0.75 (10.7% lower).
High-volume input processing	GPT-5.6 Sol	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Pareto	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5.6 Sol	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

gpt-oss-120b (free) can replace GPT-5.6 Sol when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.6 Sol when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5.6 Sol when lower sample workload cost matters most: $0.1.
GPT-5 Nano (batch) can replace GPT-5.6 Sol when lower sample workload cost matters most: $0.12.

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.
GLM 5.3 Flash offers 1.31M context with $0.24 sample workload cost.
DeepSeek V4 Flash 0731 offers 1.31M context with $0.12 sample workload cost.

Popular competitors

Qwen3.8 Max (0902) · Qwen · #1
GPT-5.6 Luna · OpenAI · #2
Hy4 preview · Tencent · #3
GLM 5.3 Flash · Z.ai · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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unbiased catalog

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

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OpenAI catalog

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

Open OpenAI models

Pareto

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.

GPT-5.6 Sol

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...