API cost decision in 10 seconds

🔥GPT-5.6 Luna vs NewHy-MT2-7B

Pick Hy-MT2-7B for lower cost; pick GPT-5.6 Luna only if the larger context window matters more.

Page updated: 2026-08-22T23:07:49Z Data confirmed: 2026-08-23T13:07:49Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Hy-MT2-7B for lower cost; pick GPT-5.6 Luna only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $0.8 for GPT-5.6 Luna, saving $0.58 (72.3% lower).

Cost-first pickHy-MT2-7B

Context-first pickGPT-5.6 Luna

Sample savings$0.5872.3%

10x traffic gap$5.79

GPT-5.6 Luna has more context, but Hy-MT2-7B saves $0.58 on the standard workload. At 10x that traffic, the same price gap is about $5.79. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Hy-MT2-7B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	GPT-5.6 Luna	Hy-MT2-7B
Input-heavy / RAG	5M input + 500K output	Hy-MT2-7B	$1.6	$0.52
Balanced workload	1M input + 1M output	Hy-MT2-7B	$1.4	$0.37
Output-heavy chatbot	1M input + 5M output	Hy-MT2-7B	$6.2	$1.55

Cheaper input Hy-MT2-7B $0.2 vs $0.074 / 1M

Hy-MT2-7B is $0.13 cheaper per 1M input tokens (63% lower; 2.7x difference).

Cheaper output Hy-MT2-7B $1.2 vs $0.295 / 1M

Hy-MT2-7B is $0.91 cheaper per 1M output tokens (75.4% lower; 4.07x difference).

Larger context GPT-5.6 Luna 1.05M vs 8.19K

GPT-5.6 Luna has 1.04M more context (128.2x larger).

Sample workload Hy-MT2-7B $0.8 vs $0.22

Hy-MT2-7B is $0.58 cheaper on the standard workload (72.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GPT-5.6 Luna Calculating… Estimated API cost

Hy-MT2-7B 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

Hy-MT2-7B has the lower input price; Hy-MT2-7B has the lower output price; GPT-5.6 Luna offers the larger context window. For the 1M input plus 500K output sample, Hy-MT2-7B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.8 for GPT-5.6 Luna and $0.22 for Hy-MT2-7B.

Best Fit

Choose GPT-5.6 Luna when you care most about larger context window.

Choose Hy-MT2-7B when you care most about lower input-token price, and lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $0.8 for GPT-5.6 Luna, saving $0.58 (72.3% lower).
Hy-MT2-7B is $0.58 cheaper on the standard workload (72.3% lower).
Hy-MT2-7B is $0.13 cheaper per 1M input tokens (63% lower; 2.7x difference).
Hy-MT2-7B is $0.91 cheaper per 1M output tokens (75.4% lower; 4.07x difference).
GPT-5.6 Luna has 1.04M more context (128.2x larger).

Head-to-Head Specs

Feature	🔥GPT-5.6 Luna (OpenAI)	NewHy-MT2-7B (Tencent)
Input Price prompt tokens per 1M	$0.2	$0.074
Completion Price per 1M tokens	$1.2	$0.295
Sample Workload Cost 1M input + 500K output	$0.8	$0.22
Context Window	1.05M	8.19K
Release Date	2026-07-09	2026-08-19
Popularity	#6

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Hy-MT2-7B	On the standard 1M input plus 500K output workload, Hy-MT2-7B is estimated at $0.22 vs $0.8 for GPT-5.6 Luna, saving $0.58 (72.3% lower).
High-volume input processing	Hy-MT2-7B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Hy-MT2-7B	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GPT-5.6 Luna	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 Luna when lower sample workload cost matters most: $0.
gpt-oss-20b (free) can replace GPT-5.6 Luna when lower sample workload cost matters most: $0.
gpt-oss-20b can replace GPT-5.6 Luna when lower sample workload cost matters most: $0.1.
gpt-oss-120b can replace GPT-5.6 Luna when lower sample workload cost matters most: $0.12.

Larger context near this budget

DeepSeek V4 Flash 0731 offers 1.31M context with $0.17 sample workload cost.
DeepSeek V4 Flash Latest offers 1.31M context with $0.11 sample workload cost.
Llama 4 Scout offers 1.31M context with $0.25 sample workload cost.

Popular competitors

DeepSeek V4 Flash 0731 · DeepSeek · #1
MiMo-V2.5 · Xiaomi · #2
Hy3 · Tencent · #3
Ox Alpha · stealth · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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OpenAI catalog

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Tencent catalog

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GPT-5.6 Luna

GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...

Hy-MT2-7B

Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based, and style-guided translation.