API cost decision in 10 seconds

🔥Hunyuan A13B Instruct vs GPT-5.6 Luna Pro (batch)

Pick GPT-5.6 Luna Pro (batch) when budget and context both matter.

Page updated: 2026-08-31T19:08:01Z Data confirmed: 2026-09-08T23:08:16Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick GPT-5.6 Luna Pro (batch) when budget and context both matter.

On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $0.42 for Hunyuan A13B Instruct, saving $0.02 (5.9% lower).

Cost-first pickGPT-5.6 Luna Pro (batch)

Context-first pickGPT-5.6 Luna Pro (batch)

Sample savings$0.025.9%

10x traffic gap$0.25

GPT-5.6 Luna Pro (batch) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.25. 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 Luna Pro (batch), balanced workload favors GPT-5.6 Luna Pro (batch), and output-heavy chatbot favors Hunyuan A13B Instruct.

Workload shape	Token mix	Better pick	Hunyuan A13B Instruct	GPT-5.6 Luna Pro (batch)
Input-heavy / RAG	5M input + 500K output	GPT-5.6 Luna Pro (batch)	$0.99	$0.8
Balanced workload	1M input + 1M output	GPT-5.6 Luna Pro (batch)	$0.71	$0.7
Output-heavy chatbot	1M input + 5M output	Hunyuan A13B Instruct	$2.99	$3.1

Cheaper input GPT-5.6 Luna Pro (batch) $0.14 vs $0.1 / 1M

GPT-5.6 Luna Pro (batch) is $0.04 cheaper per 1M input tokens (28.6% lower; 1.4x difference).

Cheaper output Hunyuan A13B Instruct $0.57 vs $0.6 / 1M

Hunyuan A13B Instruct is $0.03 cheaper per 1M output tokens (5% lower; 1.05x difference).

Larger context GPT-5.6 Luna Pro (batch) 131.07K vs 1.05M

GPT-5.6 Luna Pro (batch) has 918.93K more context (8.01x larger).

Sample workload GPT-5.6 Luna Pro (batch) $0.42 vs $0.4

GPT-5.6 Luna Pro (batch) is $0.02 cheaper on the standard workload (5.9% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Hunyuan A13B Instruct Calculating… Estimated API cost

GPT-5.6 Luna 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

GPT-5.6 Luna Pro (batch) has the lower input price; Hunyuan A13B Instruct has the lower output price; GPT-5.6 Luna Pro (batch) offers the larger context window. For the 1M input plus 500K output sample, GPT-5.6 Luna Pro (batch) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.42 for Hunyuan A13B Instruct and $0.4 for GPT-5.6 Luna Pro (batch).

Best Fit

Choose Hunyuan A13B Instruct when you care most about lower output-token price.

Choose GPT-5.6 Luna Pro (batch) when you care most about lower input-token price, and larger context window.

Decision Notes

On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $0.42 for Hunyuan A13B Instruct, saving $0.02 (5.9% lower).
GPT-5.6 Luna Pro (batch) is $0.02 cheaper on the standard workload (5.9% lower).
GPT-5.6 Luna Pro (batch) is $0.04 cheaper per 1M input tokens (28.6% lower; 1.4x difference).
Hunyuan A13B Instruct is $0.03 cheaper per 1M output tokens (5% lower; 1.05x difference).
GPT-5.6 Luna Pro (batch) has 918.93K more context (8.01x larger).

Head-to-Head Specs

Feature	🔥Hunyuan A13B Instruct (Tencent)	GPT-5.6 Luna Pro (batch) (OpenAI)
Input Price prompt tokens per 1M	$0.14	$0.1
Completion Price per 1M tokens	$0.57	$0.6
Sample Workload Cost 1M input + 500K output	$0.42	$0.4
Context Window	131.07K	1.05M
Release Date	2025-07-08	2026-07-09
Popularity	#18

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	GPT-5.6 Luna Pro (batch)	On the standard 1M input plus 500K output workload, GPT-5.6 Luna Pro (batch) is estimated at $0.4 vs $0.42 for Hunyuan A13B Instruct, saving $0.02 (5.9% lower).
High-volume input processing	GPT-5.6 Luna Pro (batch)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Hunyuan A13B Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5.6 Luna Pro (batch)	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Hy3 (free) can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.
Hy-MT2-1.8B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.13.
Hy-MT2-30B-A3B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.
Hy-MT2-7B can replace Hunyuan A13B Instruct when lower sample workload cost matters most: $0.22.

Larger context near this budget

DeepSeek V4 Flash 0731 offers 1.31M context with $0.15 sample workload cost.
GLM 5.3 Flash offers 1.31M context with $0.2 sample workload cost.
GLM Flash Latest offers 1.31M context with $0.2 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.13 sample workload cost.

Popular competitors

Hy4 preview · Tencent · #1
GPT-5.6 Luna · OpenAI · #2
DeepSeek V4 Flash 0731 · DeepSeek · #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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Tencent catalog

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OpenAI catalog

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Open OpenAI models

Hunyuan A13B Instruct

Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thought. It offers competitive benchmark...

GPT-5.6 Luna Pro (batch)

GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), 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