API cost decision in 10 seconds

NewMuse Wonder vs Kimi K3

Pick Kimi K3 when budget is the priority.

Page updated: 2026-10-15T03:07:52Z Data confirmed: 2026-10-15T03:07:52Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Kimi K3 when budget is the priority.

On the standard 1M input plus 500K output workload, Kimi K3 is estimated at $7.95 vs $14 for Muse Wonder, saving $6.05 (43.2% lower).

Cost-first pickKimi K3

Context-first pickBoth models

Sample savings$6.0543.2%

10x traffic gap$60.5

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $60.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Kimi K3 stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Muse Wonder	Kimi K3
Input-heavy / RAG	5M input + 500K output	Kimi K3	$30	$9.75
Balanced workload	1M input + 1M output	Kimi K3	$24	$15.45
Output-heavy chatbot	1M input + 5M output	Kimi K3	$104	$75.45

Cheaper input Kimi K3 $4 vs $0.45 / 1M

Kimi K3 is $3.55 cheaper per 1M input tokens (88.8% lower; 8.89x difference).

Cheaper output Kimi K3 $20 vs $15 / 1M

Kimi K3 is $5 cheaper per 1M output tokens (25% lower; 1.33x difference).

Larger context Tie 1.05M vs 1.05M

Both models report the same context window at 1.05M tokens.

Sample workload Kimi K3 $14 vs $7.95

Kimi K3 is $6.05 cheaper on the standard workload (43.2% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Muse Wonder Calculating… Estimated API cost

Kimi K3 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

Kimi K3 has the lower input price; Kimi K3 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Kimi K3 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $14 for Muse Wonder and $7.95 for Kimi K3.

Best Fit

Choose Muse Wonder when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Kimi K3 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, Kimi K3 is estimated at $7.95 vs $14 for Muse Wonder, saving $6.05 (43.2% lower).
Kimi K3 is $6.05 cheaper on the standard workload (43.2% lower).
Kimi K3 is $3.55 cheaper per 1M input tokens (88.8% lower; 8.89x difference).
Kimi K3 is $5 cheaper per 1M output tokens (25% lower; 1.33x difference).
Both models report the same context window at 1.05M tokens.

Head-to-Head Specs

Feature	NewMuse Wonder (Meta)	Kimi K3 (MoonshotAI)
Input Price prompt tokens per 1M	$4	$0.45
Completion Price per 1M tokens	$20	$15
Sample Workload Cost 1M input + 500K output	$14	$7.95
Context Window	1.05M	1.05M
Release Date	2026-10-12	2026-07-16

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Kimi K3	On the standard 1M input plus 500K output workload, Kimi K3 is estimated at $7.95 vs $14 for Muse Wonder, saving $6.05 (43.2% lower).
High-volume input processing	Kimi K3	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Kimi K3	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

Llama 3.3 70B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
Llama 3.2 3B Instruct (free) can replace Muse Wonder when lower sample workload cost matters most: $0.
Llama 3.1 8B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.09.
Llama 3.2 1B Instruct can replace Muse Wonder when lower sample workload cost matters most: $0.13.

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.
Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.

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Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Meta catalog

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

Open Meta models

MoonshotAI catalog

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

Open MoonshotAI models

Muse Wonder

Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...

Kimi K3

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...