API cost decision in 10 seconds

NewMuse Spark 1.3 Contributor vs NewGLM Flash Latest

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-09-02T21:07:23Z Data confirmed: 2026-09-02T22:07:26Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.2 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickGLM Flash Latest

Sample savings$00%

10x traffic gap$0

Context-window winner: GLM Flash Latest. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors GLM Flash Latest, balanced workload favors Muse Spark 1.3 Contributor, and output-heavy chatbot favors Muse Spark 1.3 Contributor.

Workload shape	Token mix	Better pick	Muse Spark 1.3 Contributor	GLM Flash Latest
Input-heavy / RAG	5M input + 500K output	GLM Flash Latest	$0.6	$0.5
Balanced workload	1M input + 1M output	Muse Spark 1.3 Contributor	$0.3	$0.33
Output-heavy chatbot	1M input + 5M output	Muse Spark 1.3 Contributor	$1.1	$1.32

Cheaper input GLM Flash Latest $0.1 vs $0.075 / 1M

GLM Flash Latest is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Muse Spark 1.3 Contributor $0.2 vs $0.25 / 1M

Muse Spark 1.3 Contributor is $0.05 cheaper per 1M output tokens (20% lower; 1.25x difference).

Larger context GLM Flash Latest 1.05M vs 1.31M

GLM Flash Latest has 262.14K more context (1.25x larger).

Sample workload Tie $0.2 vs $0.2

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.2.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Muse Spark 1.3 Contributor Calculating… Estimated API cost

GLM Flash Latest 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

GLM Flash Latest has the lower input price; Muse Spark 1.3 Contributor has the lower output price; GLM Flash Latest offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.2 for Muse Spark 1.3 Contributor and $0.2 for GLM Flash Latest.

Best Fit

Choose Muse Spark 1.3 Contributor when you care most about lower output-token price.

Choose GLM Flash Latest when you care most about lower input-token price, and larger context window.

Decision Notes

Both models are estimated at $0.2 for the standard 1M input plus 500K output workload.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.2.
GLM Flash Latest is $0.03 cheaper per 1M input tokens (25% lower; 1.33x difference).
Muse Spark 1.3 Contributor is $0.05 cheaper per 1M output tokens (20% lower; 1.25x difference).
GLM Flash Latest has 262.14K more context (1.25x larger).

Head-to-Head Specs

Feature	NewMuse Spark 1.3 Contributor (Meta)	NewGLM Flash Latest (Z.ai)
Input Price prompt tokens per 1M	$0.1	$0.075
Completion Price per 1M tokens	$0.2	$0.25
Sample Workload Cost 1M input + 500K output	$0.2	$0.2
Context Window	1.05M	1.31M
Release Date	2026-09-02	2026-08-27

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $0.2 for the standard 1M input plus 500K output workload.
High-volume input processing	GLM Flash Latest	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Muse Spark 1.3 Contributor	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	GLM Flash Latest	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 Spark 1.3 Contributor when lower sample workload cost matters most: $0.
Llama 3.2 3B Instruct (free) can replace Muse Spark 1.3 Contributor when lower sample workload cost matters most: $0.
Llama 3.1 8B Instruct can replace Muse Spark 1.3 Contributor when lower sample workload cost matters most: $0.09.
Llama 3.2 1B Instruct can replace Muse Spark 1.3 Contributor when lower sample workload cost matters most: $0.13.

Larger context near this budget

No larger-context model is currently tracked within a close sample-cost band.

Popular competitors

DeepSeek V4 Flash 0731 · DeepSeek · #1
GLM 5.3 Flash · Z.ai · #2
GPT-5.6 Luna · OpenAI · #3
MiMo-V2.5 · Xiaomi · #4

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

Meta catalog

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

Open Meta models

Z.ai catalog

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

Open Z.ai models

Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

GLM Flash Latest

This model always redirects to the latest model in the GLM Flash family.