Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash

Comparison

As of August 20, 2026, Llama 3.3 70B Instruct is 71% cheaper per million tokens than MAI-Code-1.1-Flash. Llama 3.3 70B Instruct is $0.20 / $0.20 per million input/output tokens versus MAI-Code-1.1-Flash at $0.20 / $1.20. Sources: https://llama.meta.com/ and https://ai.azure.com

Sources: Meta pricing (https://llama.meta.com/); Microsoft pricing (https://ai.azure.com)

Better value

Llama 3.3 70B Instruct

Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash comparison

Token pricing, specs, and benchmarks side by side

Metric

Llama 3.3 70B Instruct

MAI-Code-1.1-Flash

Provider

Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash: the bottom line

Both models are closely matched on benchmarks. Llama 3.3 70B Instruct has the pricing advantage, making it the better value unless MAI-Code-1.1-Flash's specific capabilities are critical to your workflow.

View Llama 3.3 70B Instruct details View MAI-Code-1.1-Flash details

Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash FAQ

Which is cheaper, Llama 3.3 70B Instruct or MAI-Code-1.1-Flash?

As of August 20, 2026, Llama 3.3 70B Instruct is 71% cheaper on blended LLM API pricing. Llama 3.3 70B Instruct costs $0.20 per million input tokens and $0.20 per million output tokens ($0.40 blended 1M-in + 1M-out). MAI-Code-1.1-Flash costs $0.20 / $1.20 per million tokens ($1.40 blended). Sources: https://llama.meta.com/ and https://ai.azure.com. The cheapest LLM for your app still depends on how many output tokens you generate.

How much does Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash cost per million tokens?

Llama 3.3 70B Instruct Meta API pricing is $0.20 input and $0.20 output per million tokens via Meta. MAI-Code-1.1-Flash Microsoft API pricing is $0.20 input and $1.20 output per million tokens via Microsoft. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.

Which is better for coding, Llama 3.3 70B Instruct or MAI-Code-1.1-Flash?

MAI-Code-1.1-Flash has a published SWE-bench Verified score of 72.6%. Llama 3.3 70B Instruct does not have that eval on this page yet.

What is the context window for Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash?

Llama 3.3 70B Instruct supports a 128K token context window, while MAI-Code-1.1-Flash supports 256K tokens. MAI-Code-1.1-Flash offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.

Which model performs better on benchmarks, Llama 3.3 70B Instruct or MAI-Code-1.1-Flash?

Shared benchmark scores for Llama 3.3 70B Instruct and MAI-Code-1.1-Flash are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.

Is Llama 3.3 70B Instruct or MAI-Code-1.1-Flash better for production use?

Both Llama 3.3 70B Instruct and MAI-Code-1.1-Flash are production API models. For cost-sensitive production traffic, Llama 3.3 70B Instruct has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.

Can I switch between Llama 3.3 70B Instruct and MAI-Code-1.1-Flash in my app?

Yes. Call Llama 3.3 70B Instruct through Meta and MAI-Code-1.1-Flash through Microsoft with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.

How accurate is this Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash pricing data?

List rates are the latest published Meta API pricing and Microsoft API pricing, quoted per million tokens. Official rate sheets: https://llama.meta.com/ and https://ai.azure.com. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.

What is the output token limit for Llama 3.3 70B Instruct and MAI-Code-1.1-Flash?

Llama 3.3 70B Instruct supports up to 128K output tokens per request, while MAI-Code-1.1-Flash supports up to an unspecified number of output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.

Which model has better throughput, Llama 3.3 70B Instruct or MAI-Code-1.1-Flash?

Llama 3.3 70B Instruct has a measured throughput of approximately 42 tokens/second. Throughput data for MAI-Code-1.1-Flash is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.

How do I switch the models in this Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash comparison?

Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Llama 3.3 70B Instruct or MAI-Code-1.1-Flash from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.

Llama 3.3 70B Instruct vs MAI-Code-1.1-Flash pricing

This comparison covers API pricing, context window, throughput, and benchmark scores. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output. MAI-Code-1.1-Flash costs $0.20/M input and $1.20/M output.

Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.