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HomeModelsMeta: Llama 3.1 70B Instruct
MetaBudget

Meta: Llama 3.1 70B Instruct

The go-to budget open-weight model for teams who need solid LLM capability without frontier model pricing.

75
Coding
68
Writing
72
Research
0
Images
91
Value
74
Long Context
Use this when

Teams needing capable open-weight LLM performance at budget pricing for coding assistance, summarization, or RAG pipelines.

Skip this if

You need state-of-the-art reasoning, nuanced creative writing, or multimodal (image) understanding — upgrade to Llama 3.1 405B or a frontier model instead.

Pricing
$0.40/1M in
$0.40/1M out
→0%since Mar 2026
Context
131k tokens
Speed
Fast
How to access
API
$0.39999999999999997/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Opus 4.6
Cheaper option
Meta: Llama 3.1 8B Instruct
Faster option
Anthropic: Claude 3.5 Haiku

Strengths

Exceptional price-to-performance ratio at $0.40/1M tokens — far cheaper than GPT-4o or Claude Sonnet 4.6

Strong instruction-following and multilingual capabilities for its parameter count

131K context window supports document summarization and long RAG pipelines

Open-weight architecture allows self-hosting for data-sensitive workloads

Weaknesses

Noticeably behind Llama 3.1 405B and frontier models like GPT-5.4 on complex multi-step reasoning

Creative writing quality lacks the nuance and style control of Claude Sonnet 4.6

No native multimodal (image) support — text only

Monthly cost estimate

See what Meta: Llama 3.1 70B Instruct actually costs at your usage level

Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.400
Output cost
$0.200
Total / month
$0.600

Based on Meta: Llama 3.1 70B Instruct API pricing: $0.39999999999999997/1M input · $0.39999999999999997/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.

Price History

Meta: Llama 3.1 70B Instruct pricing over time

→0% since Mar 27

$0.432$0.416$0.400$0.384$0.368Mar 27Mar 28

2 data points · tracked daily since Mar 27, 2026

Ready to try it?

Start using Meta: Llama 3.1 70B Instruct

Teams needing capable open-weight LLM performance at budget pricing for coding assistance, summarization, or RAG pipelines.. Start free — no card required.

Try Meta: Llama 3.1 70B Instruct freeCompare alternatives

Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

Compare alternatives

Similar models worth checking before you commit.

AnthropicBalanced

Anthropic: Claude 3.5 Haiku

Claude 3.5 Haiku is Anthropic's fastest and most affordable model in the Claude 3.5 family, designed for high-throughput tasks requiring quick responses without sacrificing Claude's core instruction-following quality. It handles a massive 200K context window while maintaining speed suitable for production pipelines.

Verdict
The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.
Quality score
64%
Pricing
$0.80/1M in
$4.00/1M out
Speed
Very fast
Best for high-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
Context
200k tokens
Output cost of $4/1M is notably higher than competing fast/mini models. Input cost at ~$0.80/1M is competitive. Best value emerges in input-heavy pipelines like document classification or RAG retrieval where output tokens are minimal.
FastLong ContextBudget-FriendlyClaude FamilyAgentic
Best for
High-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
View model
MistralBudget

Mistral: Mistral Large 3 2512

Mistral Large 3 2512 is Mistral's flagship dense model updated in December 2025, offering strong multilingual reasoning and coding capabilities at a significantly reduced price point compared to its predecessor. It targets enterprise workloads that need high-quality outputs without paying top-tier frontier model prices.

Verdict
The best price-per-quality ratio in the non-mini flagship tier, especially for multilingual and long-context enterprise tasks.
Quality score
69%
Pricing
$0.50/1M in
$1.50/1M out
Speed
Balanced
Best for multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
Context
262k tokens
Pricing of $0.50 input / $1.50 output per 1M tokens places it firmly in the budget-flagship category. Available via Mistral API (La Plateforme) and major cloud providers. December 2025 update ('2512') improves instruction following over the earlier 2407 release.
Budget flagshipMultilingualLong contextEnterpriseCode
Best for
Multilingual enterprise tasks, code generation, and long-document analysis where cost efficiency matters more than absolute state-of-the-art performance.
View model
MistralBudget

Mistral: Mistral Medium 3

Mistral Medium 3 is a mid-tier model from Mistral AI that punches above its weight class, officially superseding Mistral Large 2 while costing a fraction of the price. It targets teams needing capable multilingual and coding performance without flagship-level spend.

Verdict
The most capable budget model Mistral has shipped — a smart default for high-volume teams that need real performance without flagship pricing.
Quality score
67%
Pricing
$0.40/1M in
$2.00/1M out
Speed
Fast
Best for cost-conscious teams running high-volume coding, summarization, or multilingual tasks at enterprise scale.
Context
131k tokens
Priced at $0.40 input / $2.00 output per 1M tokens. Officially supersedes Mistral Large 2, making it an easy drop-in upgrade for existing Mistral users. Available via Mistral's API and La Plateforme.
BudgetMultilingualCodingHigh VolumeMid-Tier
Best for
Cost-conscious teams running high-volume coding, summarization, or multilingual tasks at enterprise scale.
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

Meta: Llama 3.1 70B Instruct — added to UseRightAI

Meta: Llama 3.1 70B Instruct (Meta) is now indexed. The go-to budget open-weight model for teams who need solid LLM capability without frontier model pricing.

View model

FAQ

What is Meta: Llama 3.1 70B Instruct best for?

Meta: Llama 3.1 70B Instruct is best for teams needing capable open-weight llm performance at budget pricing for coding assistance, summarization, or rag pipelines.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.

When should I avoid Meta: Llama 3.1 70B Instruct?

You need state-of-the-art reasoning, nuanced creative writing, or multimodal (image) understanding — upgrade to Llama 3.1 405B or a frontier model instead.

What is a cheaper alternative to Meta: Llama 3.1 70B Instruct?

Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.

What is a faster alternative to Meta: Llama 3.1 70B Instruct?

Anthropic: Claude 3.5 Haiku is the better pick when response time matters more than maximum depth or premium quality.

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