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Comparison · 2 models · Updated Oct 4, 2026

Llama-3.3-70B-Instruct vs Qwen3 Max

Qwen3 Max comes out ahead, 50 to 46 on our weighted score, though Llama-3.3-70B-Instruct is 3.8× cheaper per token.

  1. Meta

    Llama-3.3-70B-Instruct

    Released Dec 6, 2024

    46/100
    • ECI127.3
    • Price$0.59 / $0.724
    • Context128K
    Full specs Remove Llama-3.3-70B-Instruct
  2. Our pick

    Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
    Full specs Remove Qwen3 Max

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen3 Max is our pick

Qwen3 Max is the better all-round choice, scoring 50/100 against Llama-3.3-70B-Instruct (46). It leads on capability and context window. Llama-3.3-70B-Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen3 MaxCapabilities Index (ECI): Qwen3 Max 142.4 · Llama-3.3-70B-Instruct 127.3
  • Lowest priceLlama-3.3-70B-InstructLlama-3.3-70B-Instruct $0.624 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextQwen3 MaxQwen3 Max 262,144 · Llama-3.3-70B-Instruct 128,000 tokens
  • Widest inputsSame inputsLlama-3.3-70B-Instruct: Text · Qwen3 Max: Text
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightLlama-3.3-70B-InstructQwen3 Max
CapabilityCapabilities Index (ECI)50%4968
Price25%6032
Inputs & features15%2525
Context window10%2437
Overall100%46/10050/100
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 Qwen3 Max specifications side by side
SpecificationLlama-3.3-70B-InstructMetaQwen3 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)127.3142.4 (best)
ECI rank#133 of 148#91 of 148 (best)
GPQA DiamondGraduate-level science questions47.4%72.6% (best)
FrontierMath Tiers 1–3Research-level mathematics—19.0%
OTIS Mock AIME 2024–2025Competition mathematics5.1%73.3% (best)
SimpleQA VerifiedShort factual questions—48.8%
Price per million tokens
Input$0.59 (best)$1.20
Output$0.724 (best)$6.00
Cached input——
Blended (3:1)$0.624 (best)$2.40
Long-context rateSame rateSame rate
Price sourceMedian of 21 providersOfficial Alibaba API
Limits
Context window128,000 tokens262,144 tokens (best)
Max output4,096 tokens65,536 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDllama-3.3-70b-instructqwen3-max
API providers24 (best)16
ReleasedDec 6, 2024Sep 23, 2025
Knowledge cutoffDec 2023Apr 2025
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
  • Qwen3 Max$24.00
04 — Questions

Which should you choose?

Which is better: Llama-3.3-70B-Instruct or Qwen3 Max?

Qwen3 Max is the better all-round choice, scoring 50/100 against Llama-3.3-70B-Instruct (46). It leads on capability and context window. Llama-3.3-70B-Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Llama-3.3-70B-Instruct or Qwen3 Max?

Llama-3.3-70B-Instruct is cheaper at $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.624 per million tokens for Llama-3.3-70B-Instruct versus $2.40 for Qwen3 Max (3.8× as much).

Which scores higher on benchmarks?

Qwen3 Max scores higher on the Capabilities Index (ECI): Qwen3 Max 142.4 (#91 of 148) and Llama-3.3-70B-Instruct 127.3 (#133 of 148). Their confidence ranges do not overlap (140.0–144.6 vs 122.5–129.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen3 Max 72.6%, Llama-3.3-70B-Instruct 47.4%; OTIS Mock AIME 2024–2025 — Qwen3 Max 73.3%, Llama-3.3-70B-Instruct 5.1%.

Which is better for coding?

There are no published SWE-bench Verified results for Llama-3.3-70B-Instruct and Qwen3 Max yet, so there is no like-for-like coding score. On overall capability, Qwen3 Max 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?

Qwen3 Max has the largest context window at 262,144 tokens, against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Llama-3.3-70B-Instruct up to 4,096, Qwen3 Max up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Llama-3.3-70B-Instruct accepts text; Qwen3 Max accepts text. They handle the same number of input types.

Are any of these open source?

Llama-3.3-70B-Instruct publishes its weights and can be self-hosted; Qwen3 Max is proprietary.

Which is newer?

Qwen3 Max is the newest, released Sep 23, 2025. Llama-3.3-70B-Instruct came out Dec 6, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Qwen3 Max Apr 2025.

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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