API cost decision in 10 seconds

🔥GLM 5.3 vs NewMistral Large 4

Pick Mistral Large 4 when budget is the priority.

Page updated: 2026-10-15T01:07:46Z Data confirmed: 2026-10-15T02:07:54Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Large 4 when budget is the priority.

On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $2.48 for GLM 5.3, saving $0.75 (30.4% lower).

Cost-first pickMistral Large 4

Context-first pickBoth models

Sample savings$0.7530.4%

10x traffic gap$7.54

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $7.54. 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 GLM 5.3, balanced workload favors Mistral Large 4, and output-heavy chatbot favors Mistral Large 4.

Workload shape	Token mix	Better pick	GLM 5.3	Mistral Large 4
Input-heavy / RAG	5M input + 500K output	GLM 5.3	$2.79	$4.45
Balanced workload	1M input + 1M output	Mistral Large 4	$4.88	$2.77
Output-heavy chatbot	1M input + 5M output	Mistral Large 4	$24.08	$11.13

Cheaper input GLM 5.3 $0.079 vs $0.68 / 1M

GLM 5.3 is $0.6 cheaper per 1M input tokens (88.4% lower; 8.61x difference).

Cheaper output Mistral Large 4 $4.8 vs $2.09 / 1M

Mistral Large 4 is $2.71 cheaper per 1M output tokens (56.5% lower; 2.3x difference).

Larger context Tie 1.05M vs 1.05M

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

Sample workload Mistral Large 4 $2.48 vs $1.73

Mistral Large 4 is $0.75 cheaper on the standard workload (30.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

GLM 5.3 Calculating… Estimated API cost

Mistral Large 4 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 5.3 has the lower input price; Mistral Large 4 has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Mistral Large 4 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.48 for GLM 5.3 and $1.73 for Mistral Large 4.

Best Fit

Choose GLM 5.3 when you care most about lower input-token price.

Choose Mistral Large 4 when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $2.48 for GLM 5.3, saving $0.75 (30.4% lower).
Mistral Large 4 is $0.75 cheaper on the standard workload (30.4% lower).
GLM 5.3 is $0.6 cheaper per 1M input tokens (88.4% lower; 8.61x difference).
Mistral Large 4 is $2.71 cheaper per 1M output tokens (56.5% lower; 2.3x difference).
Both models report the same context window at 1.05M tokens.

Head-to-Head Specs

Feature	🔥GLM 5.3 (Z.ai)	NewMistral Large 4 (Mistral)
Input Price prompt tokens per 1M	$0.079	$0.68
Completion Price per 1M tokens	$4.8	$2.09
Sample Workload Cost 1M input + 500K output	$2.48	$1.73
Context Window	1.05M	1.05M
Release Date	2026-08-18	2026-10-06
Popularity	#10

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Large 4	On the standard 1M input plus 500K output workload, Mistral Large 4 is estimated at $1.73 vs $2.48 for GLM 5.3, saving $0.75 (30.4% lower).
High-volume input processing	GLM 5.3	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Mistral Large 4	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

GLM 5.2 (free) can replace GLM 5.3 when lower sample workload cost matters most: $0.
GLM 4.5 Air (free) can replace GLM 5.3 when lower sample workload cost matters most: $0.
GLM 4 32B can replace GLM 5.3 when lower sample workload cost matters most: $0.15.
GLM 5.3 Flash (batch) can replace GLM 5.3 when lower sample workload cost matters most: $0.16.

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.

Popular competitors

DeepSeek V4.1 Flash · DeepSeek · #1
Step 5 Preview · StepFun · #2
GLM 5.3 Flash · Z.ai · #3
MiMo-V2.6-Flash · Xiaomi · #4

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.

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Z.ai catalog

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

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Mistral catalog

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

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GLM 5.3

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

Mistral Large 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...