API cost decision in 10 seconds

LongCat 2.0 vs GPT-5.6 Sol Pro (batch)

Pick LongCat 2.0 for lower cost; pick GPT-5.6 Sol Pro (batch) only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LongCat 2.0 for lower cost; pick GPT-5.6 Sol Pro (batch) only if the larger context window matters more.

On the standard 1M input plus 500K output workload, LongCat 2.0 is estimated at $0.9 vs $3.5 for GPT-5.6 Sol Pro (batch), saving $2.6 (74.3% lower).

Cost-first pickLongCat 2.0
Context-first pickGPT-5.6 Sol Pro (batch)
Sample savings$2.674.3%
10x traffic gap$26

GPT-5.6 Sol Pro (batch) has more context, but LongCat 2.0 saves $2.6 on the standard workload. At 10x that traffic, the same price gap is about $26. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LongCat 2.0 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickLongCat 2.0GPT-5.6 Sol Pro (batch)
Input-heavy / RAG5M input + 500K outputLongCat 2.0$2.1$7.5
Balanced workload1M input + 1M outputLongCat 2.0$1.5$6
Output-heavy chatbot1M input + 5M outputLongCat 2.0$6.3$26
Cheaper input LongCat 2.0 $0.3 vs $1 / 1M

LongCat 2.0 is $0.7 cheaper per 1M input tokens (70% lower; 3.33x difference).

Cheaper output LongCat 2.0 $1.2 vs $5 / 1M

LongCat 2.0 is $3.8 cheaper per 1M output tokens (76% lower; 4.17x difference).

Larger context GPT-5.6 Sol Pro (batch) 1.05M vs 1.05M

GPT-5.6 Sol Pro (batch) has 1.24K more context (1x larger).

Sample workload LongCat 2.0 $0.9 vs $3.5

LongCat 2.0 is $2.6 cheaper on the standard workload (74.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
LongCat 2.0 Calculating… Estimated API cost
GPT-5.6 Sol Pro (batch) 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

LongCat 2.0 has the lower input price; LongCat 2.0 has the lower output price; GPT-5.6 Sol Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, LongCat 2.0 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.9 for LongCat 2.0 and $3.5 for GPT-5.6 Sol Pro (batch).

Best Fit

Choose LongCat 2.0 when you care most about lower input-token price, and lower output-token price.

Choose GPT-5.6 Sol Pro (batch) when you care most about larger context window.

Decision Notes
  • On the standard 1M input plus 500K output workload, LongCat 2.0 is estimated at $0.9 vs $3.5 for GPT-5.6 Sol Pro (batch), saving $2.6 (74.3% lower).
  • LongCat 2.0 is $2.6 cheaper on the standard workload (74.3% lower).
  • LongCat 2.0 is $0.7 cheaper per 1M input tokens (70% lower; 3.33x difference).
  • LongCat 2.0 is $3.8 cheaper per 1M output tokens (76% lower; 4.17x difference).
  • GPT-5.6 Sol Pro (batch) has 1.24K more context (1x larger).
Head-to-Head Specs
FeatureLongCat 2.0
(Meituan)		GPT-5.6 Sol Pro (batch)
(OpenAI)
Input Price
prompt tokens per 1M		$0.3$1
Completion Price
per 1M tokens		$1.2$5
Sample Workload Cost
1M input + 500K output		$0.9$3.5
Context Window1.05M1.05M
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLongCat 2.0On the standard 1M input plus 500K output workload, LongCat 2.0 is estimated at $0.9 vs $3.5 for GPT-5.6 Sol Pro (batch), saving $2.6 (74.3% lower).
High-volume input processingLongCat 2.0Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLongCat 2.0Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGPT-5.6 Sol Pro (batch)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 Pro (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.
  • gpt-oss-20b can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.1.
  • gpt-oss-120b can replace GPT-5.6 Sol Pro (batch) when lower sample workload cost matters most: $0.12.

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

Meituan catalog

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

Open Meituan models

OpenAI catalog

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

Open OpenAI models
LongCat 2.0

LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic...

GPT-5.6 Sol Pro (batch)

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode