API cost decision in 10 seconds

Mistral Small 4 vs Llama 3.1 70B Instruct

Pick Mistral Small 4 when budget and context both matter.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T18:08:02Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Mistral Small 4 when budget and context both matter.

On the standard 1M input plus 500K output workload, Mistral Small 4 is estimated at $0.45 vs $0.6 for Llama 3.1 70B Instruct, saving $0.15 (25% lower).

Cost-first pickMistral Small 4

Context-first pickMistral Small 4

Sample savings$0.1525%

10x traffic gap$1.5

Mistral Small 4 is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $1.5. 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 Mistral Small 4, balanced workload favors Mistral Small 4, and output-heavy chatbot favors Llama 3.1 70B Instruct.

Workload shape	Token mix	Better pick	Mistral Small 4	Llama 3.1 70B Instruct
Input-heavy / RAG	5M input + 500K output	Mistral Small 4	$1.05	$2.2
Balanced workload	1M input + 1M output	Mistral Small 4	$0.75	$0.8
Output-heavy chatbot	1M input + 5M output	Llama 3.1 70B Instruct	$3.15	$2.4

Cheaper input Mistral Small 4 $0.15 vs $0.4 / 1M

Mistral Small 4 is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).

Cheaper output Llama 3.1 70B Instruct $0.6 vs $0.4 / 1M

Llama 3.1 70B Instruct is $0.2 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Mistral Small 4 262.14K vs 131.07K

Mistral Small 4 has 131.07K more context (2x larger).

Sample workload Mistral Small 4 $0.45 vs $0.6

Mistral Small 4 is $0.15 cheaper on the standard workload (25% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Mistral Small 4 Calculating… Estimated API cost

Llama 3.1 70B Instruct 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

Mistral Small 4 has the lower input price; Llama 3.1 70B Instruct has the lower output price; Mistral Small 4 offers the larger context window. For the 1M input plus 500K output sample, Mistral Small 4 is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.45 for Mistral Small 4 and $0.6 for Llama 3.1 70B Instruct.

Best Fit

Choose Mistral Small 4 when you care most about lower input-token price, and larger context window.

Choose Llama 3.1 70B Instruct when you care most about lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Mistral Small 4 is estimated at $0.45 vs $0.6 for Llama 3.1 70B Instruct, saving $0.15 (25% lower).
Mistral Small 4 is $0.15 cheaper on the standard workload (25% lower).
Mistral Small 4 is $0.25 cheaper per 1M input tokens (62.5% lower; 2.67x difference).
Llama 3.1 70B Instruct is $0.2 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
Mistral Small 4 has 131.07K more context (2x larger).

Head-to-Head Specs

Feature	Mistral Small 4 (Mistral)	Llama 3.1 70B Instruct (Meta)
Input Price prompt tokens per 1M	$0.15	$0.4
Completion Price per 1M tokens	$0.6	$0.4
Sample Workload Cost 1M input + 500K output	$0.45	$0.6
Context Window	262.14K	131.07K
Release Date	2026-03-16	2024-07-23
Popularity	#82	#87

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Mistral Small 4	On the standard 1M input plus 500K output workload, Mistral Small 4 is estimated at $0.45 vs $0.6 for Llama 3.1 70B Instruct, saving $0.15 (25% lower).
High-volume input processing	Mistral Small 4	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Llama 3.1 70B Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Mistral Small 4	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Mistral Nemo can replace Mistral Small 4 when lower sample workload cost matters most: $0.04.
Mistral Small 3 can replace Mistral Small 4 when lower sample workload cost matters most: $0.09.
Ministral 3 3B 2512 can replace Mistral Small 4 when lower sample workload cost matters most: $0.15.
Mistral Small 3.2 24B can replace Mistral Small 4 when lower sample workload cost matters most: $0.17.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
Gemini 2.5 Flash Lite offers 1.05M context with $0.3 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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

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Mistral catalog

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

Open Mistral models

Meta catalog

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

Open Meta models

Mistral Small 4

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from...

Llama 3.1 70B Instruct

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...