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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.1-70B-Instruct vs GPT-4o

Too close to call on our weighted score (Llama-3.1-70B-Instruct 44, GPT-4o 43). The right pick depends on what you value most.

  1. Meta

    Llama-3.1-70B-Instruct

    Released Jul 23, 2024

    44/100
    • ECI125.9
    • Price$0.72 / $0.72
    • Context128K
    Full specs Remove Llama-3.1-70B-Instruct

  2. OpenAI

    GPT-4o

    Released May 13, 2024

    43/100
    • ECI129.0
    • Price$2.50 / $10.00
    • Context128K
    Full specs Remove GPT-4o

  3. Add a model

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Llama-3.1-70B-Instruct 44/100, GPT-4o 43/100), so choose by what matters most for your work: GPT-4o for raw capability and Llama-3.1-70B-Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-4oCapabilities Index (ECI): GPT-4o 129.0 · Llama-3.1-70B-Instruct 125.9
  • Lowest priceLlama-3.1-70B-InstructLlama-3.1-70B-Instruct $0.72 · GPT-4o $4.38 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameLlama-3.1-70B-Instruct 128,000 · GPT-4o 128,000 tokens
  • Widest inputsGPT-4oLlama-3.1-70B-Instruct: Text · GPT-4o: Text, Images, PDFs
  • Self-hostingLlama-3.1-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama-3.1-70B-InstructGPT-4o
CapabilityCapabilities Index (ECI)50%4852
Price25%5719
Inputs & features15%2570
Context window10%2424
Overall100%44/10043/100
02 — Side by side

Every spec in one table

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

Llama-3.1-70B-Instruct vs GPT-4o specifications side by side
SpecificationLlama-3.1-70B-InstructMetaGPT-4oOpenAI
Capability
Capabilities Index (ECI)125.9129.0 (best)
ECI rank#136 of 148#129 of 148 (best)
GPQA DiamondGraduate-level science questions44.2%48.9% (best)
OTIS Mock AIME 2024–2025Competition mathematics3.6%6.3% (best)
Price per million tokens
Input$0.72 (best)$2.50
Output$0.72 (best)$10.00
Cached input—$1.25
Blended (3:1)$0.72 (best)$4.38
Long-context rateSame rateSame rate
Price sourceMedian of 5 providersOfficial OpenAI API
Limits
Context window128,000 tokens128,000 tokens
Max output4,096 tokens16,384 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model ID—gpt-4o
API providers519 (best)
ReleasedJul 23, 2024May 13, 2024
Knowledge cutoffDec 2023Sep 2023
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-3.1-70B-Instruct$8.64
  • GPT-4o$45.00
04 — Questions

Which should you choose?

Which is better: Llama-3.1-70B-Instruct or GPT-4o?

It is close. Our weighted score puts them within a point (Llama-3.1-70B-Instruct 44/100, GPT-4o 43/100), so choose by what matters most for your work: GPT-4o for raw capability and Llama-3.1-70B-Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Llama-3.1-70B-Instruct or GPT-4o?

Llama-3.1-70B-Instruct is cheaper at $0.72 input / $0.72 output per million tokens (median across 5 API providers). GPT-4o costs $2.50 input / $10.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.72 per million tokens for Llama-3.1-70B-Instruct versus $4.38 for GPT-4o (6.1× as much).

Which scores higher on benchmarks?

GPT-4o scores higher on the Capabilities Index (ECI): GPT-4o 129.0 (#129 of 148) and Llama-3.1-70B-Instruct 125.9 (#136 of 148). The confidence ranges of the top two overlap (124.2–131.5 vs 121.0–128.1), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-4o 48.9%, Llama-3.1-70B-Instruct 44.2%; OTIS Mock AIME 2024–2025 — GPT-4o 6.3%, Llama-3.1-70B-Instruct 3.6%.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.1-70B-Instruct and GPT-4o yet, so there is no like-for-like coding score. On overall capability, GPT-4o leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Llama-3.1-70B-Instruct and GPT-4o share the same 128,000-token context window. Maximum output per response: Llama-3.1-70B-Instruct up to 4,096, GPT-4o up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Llama-3.1-70B-Instruct accepts text; GPT-4o accepts text, images and PDFs. GPT-4o handles the widest range of inputs.

Are any of these open source?

Llama-3.1-70B-Instruct publishes its weights and can be self-hosted; GPT-4o is proprietary.

Which is newer?

Llama-3.1-70B-Instruct is the newest, released Jul 23, 2024. GPT-4o came out May 13, 2024. Knowledge cutoff: Llama-3.1-70B-Instruct Dec 2023, GPT-4o Sep 2023.

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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