API cost decision in 10 seconds

🔥Hunyuan A13B Instruct vs Muse Glimmer 30B (batch)

Pick Hunyuan A13B Instruct when budget is the priority.

Page updated: 2026-09-08T18:08:24Z Data confirmed: 2026-09-08T23:08:16Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Hunyuan A13B Instruct when budget is the priority.

On the standard 1M input plus 500K output workload, Hunyuan A13B Instruct is estimated at $0.42 vs $0.55 for Muse Glimmer 30B (batch), saving $0.13 (22.7% lower).

Cost-first pickHunyuan A13B Instruct

Context-first pickBoth models

Sample savings$0.1322.7%

10x traffic gap$1.25

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Hunyuan A13B Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Hunyuan A13B Instruct	Muse Glimmer 30B (batch)
Input-heavy / RAG	5M input + 500K output	Hunyuan A13B Instruct	$0.99	$1.25
Balanced workload	1M input + 1M output	Hunyuan A13B Instruct	$0.71	$0.93
Output-heavy chatbot	1M input + 5M output	Hunyuan A13B Instruct	$2.99	$3.92

Cheaper input Hunyuan A13B Instruct $0.14 vs $0.175 / 1M

Hunyuan A13B Instruct is $0.03 cheaper per 1M input tokens (20% lower; 1.25x difference).

Cheaper output Hunyuan A13B Instruct $0.57 vs $0.75 / 1M

Hunyuan A13B Instruct is $0.18 cheaper per 1M output tokens (24% lower; 1.32x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload Hunyuan A13B Instruct $0.42 vs $0.55

Hunyuan A13B Instruct is $0.13 cheaper on the standard workload (22.7% 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

Muse Glimmer 30B (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

Hunyuan A13B Instruct has the lower input price; Hunyuan A13B Instruct has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Hunyuan A13B Instruct 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 $0.55 for Muse Glimmer 30B (batch).

Best Fit

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

Choose Muse Glimmer 30B (batch) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Hunyuan A13B Instruct is estimated at $0.42 vs $0.55 for Muse Glimmer 30B (batch), saving $0.13 (22.7% lower).
Hunyuan A13B Instruct is $0.13 cheaper on the standard workload (22.7% lower).
Hunyuan A13B Instruct is $0.03 cheaper per 1M input tokens (20% lower; 1.25x difference).
Hunyuan A13B Instruct is $0.18 cheaper per 1M output tokens (24% lower; 1.32x difference).
Both models report the same context window at 131.07K tokens.

Head-to-Head Specs

Feature	🔥Hunyuan A13B Instruct (Tencent)	Muse Glimmer 30B (batch) (Meta)
Input Price prompt tokens per 1M	$0.14	$0.175
Completion Price per 1M tokens	$0.57	$0.75
Sample Workload Cost 1M input + 500K output	$0.42	$0.55
Context Window	131.07K	131.07K
Release Date	2025-07-08	2026-08-09
Popularity	#18

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Hunyuan A13B Instruct	On the standard 1M input plus 500K output workload, Hunyuan A13B Instruct is estimated at $0.42 vs $0.55 for Muse Glimmer 30B (batch), saving $0.13 (22.7% lower).
High-volume input processing	Hunyuan A13B Instruct	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	Tie	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

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

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Meta catalog

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

Open Meta 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...

Muse Glimmer 30B (batch)

Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It is suited for long-horizon...