ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Llama-3.3-70B-Instruct vs Command R

Command R comes out ahead, 51 to 42 on our weighted score, and it is the cheaper option too.

  1. Meta

    Llama-3.3-70B-Instruct

    Released Dec 6, 2024

    42/100
    • ECI127.3
    • Price$0.59 / $0.724
    • Context128K
    Full specs Remove Llama-3.3-70B-Instruct
  2. Our pick

    Cohere

    Command R

    Released Aug 30, 2024

    51/100
    • ECI—
    • Price$0.15 / $0.60
    • Context128K
    Full specs Remove Command R

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Command R is our pick

Command R is the better all-round choice, scoring 51/100 against Llama-3.3-70B-Instruct (42). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceCommand RCommand R $0.263 · Llama-3.3-70B-Instruct $0.624 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameLlama-3.3-70B-Instruct 128,000 · Command R 128,000 tokens
  • Widest inputsSame inputsLlama-3.3-70B-Instruct: Text · Command R: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightLlama-3.3-70B-InstructCommand R
Price50%6077
Inputs & features30%2525
Context window20%2424
Overall100%42/10051/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Llama-3.3-70B-Instruct vs Command R specifications side by side
SpecificationLlama-3.3-70B-InstructMetaCommand RCohere
Capability
Capabilities Index (ECI)127.3—
ECI rank#133 of 148—
GPQA DiamondGraduate-level science questions47.4%—
OTIS Mock AIME 2024–2025Competition mathematics5.1%—
Price per million tokens
Input$0.59$0.15 (best)
Output$0.724$0.60 (best)
Cached input——
Blended (3:1)$0.624$0.263 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 21 providersOfficial Cohere API
Limits
Context window128,000 tokens128,000 tokens
Max output4,096 tokens (best)4,000 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDllama-3.3-70b-instructcommand-r-08-2024
API providers24 (best)5
ReleasedDec 6, 2024Aug 30, 2024
Knowledge cutoffDec 2023Jun 1, 2024
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Llama-3.3-70B-Instruct$7.35
  • Command R$2.70
04 — Questions

Which should you choose?

Which is better: Llama-3.3-70B-Instruct or Command R?

Command R is the better all-round choice, scoring 51/100 against Llama-3.3-70B-Instruct (42). It leads on price. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Llama-3.3-70B-Instruct or Command R?

Command R is cheaper at $0.15 input / $0.60 output per million tokens (official Cohere API price). Llama-3.3-70B-Instruct costs $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for Command R versus $0.624 for Llama-3.3-70B-Instruct (2.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Llama-3.3-70B-Instruct has an ECI of 127.3 and Command R has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.3-70B-Instruct and Command R yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Llama-3.3-70B-Instruct and Command R share the same 128,000-token context window. Maximum output per response: Llama-3.3-70B-Instruct up to 4,096, Command R up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Llama-3.3-70B-Instruct accepts text; Command R accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Llama-3.3-70B-Instruct is the newest, released Dec 6, 2024. Command R came out Aug 30, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Command R Jun 1, 2024.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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