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Comparison · 2 models · Updated Oct 4, 2026

Qwen3 Max vs Llama-3.3-70B-Instruct

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. 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

  2. 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

  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 inputsQwen3 Max: Text · Llama-3.3-70B-Instruct: Text
  • Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
How the score is built
MeasureWeightQwen3 MaxLlama-3.3-70B-Instruct
CapabilityCapabilities Index (ECI)50%6849
Price25%3260
Inputs & features15%2525
Context window10%3724
Overall100%50/10046/100
02 — Side by side

Every spec in one table

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

Qwen3 Max vs Llama-3.3-70B-Instruct specifications side by side
SpecificationQwen3 MaxAlibaba (Qwen)Llama-3.3-70B-InstructMeta
Capability
Capabilities Index (ECI)142.4 (best)127.3
ECI rank#91 of 148 (best)#133 of 148
GPQA DiamondGraduate-level science questions72.6% (best)47.4%
FrontierMath Tiers 1–3Research-level mathematics19.0%—
OTIS Mock AIME 2024–2025Competition mathematics73.3% (best)5.1%
SimpleQA VerifiedShort factual questions48.8%—
Price per million tokens
Input$1.20$0.59 (best)
Output$6.00$0.724 (best)
Cached input——
Blended (3:1)$2.40$0.624 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIMedian of 21 providers
Limits
Context window262,144 tokens (best)128,000 tokens
Max output65,536 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model IDqwen3-maxllama-3.3-70b-instruct
API providers1624 (best)
ReleasedSep 23, 2025Dec 6, 2024
Knowledge cutoffApr 2025Dec 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.

  • Qwen3 Max$24.00
  • Llama-3.3-70B-Instruct$7.35
04 — Questions

Which should you choose?

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

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, Qwen3 Max or Llama-3.3-70B-Instruct?

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 Qwen3 Max and Llama-3.3-70B-Instruct 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: Qwen3 Max up to 65,536, Llama-3.3-70B-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Max accepts text; Llama-3.3-70B-Instruct 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: Qwen3 Max Apr 2025, Llama-3.3-70B-Instruct Dec 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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