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Comparison · 2 models · Updated Nov 2, 2026

WizardLM 2 8x22B vs Llama-3.1-70B-Instruct

Llama-3.1-70B-Instruct comes out ahead, 42 to 38 on our weighted score, though WizardLM 2 8x22B is 32% cheaper per token.

  1. Microsoft

    WizardLM 2 8x22B

    Released Apr 15, 2024

    38/100
    • ECI—
    • Price$0.493 / $0.493
    • Context66K
    Full specs Remove WizardLM 2 8x22B
  2. Our pick

    Meta

    Llama-3.1-70B-Instruct

    Released Jul 23, 2024

    42/100
    • ECI125.9
    • Price$0.72 / $0.72
    • Context128K
    Full specs Remove Llama-3.1-70B-Instruct

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Llama-3.1-70B-Instruct is our pick

Llama-3.1-70B-Instruct is the better all-round choice, scoring 42/100 against WizardLM 2 8x22B (38). It leads on inputs & features and context window. WizardLM 2 8x22B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because WizardLM 2 8x22B has no Capabilities Index score yet.

  • CapabilityLlama-3.1-70B-InstructShared benchmarks: Llama-3.1-70B-Instruct 44.2% · WizardLM 2 8x22B 43.4%
  • Lowest priceWizardLM 2 8x22BWizardLM 2 8x22B $0.493 · Llama-3.1-70B-Instruct $0.72 per 1M tokens (3:1 blend)
  • Longest contextLlama-3.1-70B-InstructLlama-3.1-70B-Instruct 128,000 · WizardLM 2 8x22B 65,536 tokens
  • Widest inputsSame inputsWizardLM 2 8x22B: Text · Llama-3.1-70B-Instruct: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightWizardLM 2 8x22BLlama-3.1-70B-Instruct
CapabilityShared benchmarks50%4344
Price25%6254
Inputs & features15%025
Context window10%1224
Overall100%38/10042/100
02 — Side by side

Every spec in one table

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

WizardLM 2 8x22B vs Llama-3.1-70B-Instruct specifications side by side
SpecificationWizardLM 2 8x22BMicrosoftLlama-3.1-70B-InstructMeta
Capability
Capabilities Index (ECI)—125.9
ECI rank—#149 of 165
GPQA DiamondGraduate-level science questions43.4%44.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics—3.6%
Price per million tokens
Input$0.493 (best)$0.72
Output$0.493 (best)$0.72
Cached input——
Blended (3:1)$0.493 (best)$0.72
Long-context rateSame rateSame rate
Price sourceMedian of 3 providersMedian of 8 providers
Limits
Context window65,536 tokens128,000 tokens (best)
Max output8,000 tokens (best)4,096 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingNoYes
Structured outputNoNo
Availability
WeightsOpenApache-2.0Open
API model ID——
API providers38 (best)
ReleasedApr 15, 2024Jul 23, 2024
Knowledge cutoff—Dec 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.

  • WizardLM 2 8x22B$5.92
  • Llama-3.1-70B-Instruct$8.64
04 — Questions

Which should you choose?

Which is better: WizardLM 2 8x22B or Llama-3.1-70B-Instruct?

Llama-3.1-70B-Instruct is the better all-round choice, scoring 42/100 against WizardLM 2 8x22B (38). It leads on inputs & features and context window. WizardLM 2 8x22B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because WizardLM 2 8x22B has no Capabilities Index score yet.

Which is cheaper, WizardLM 2 8x22B or Llama-3.1-70B-Instruct?

WizardLM 2 8x22B is cheaper at $0.493 input / $0.493 output per million tokens (median across 3 API providers). Llama-3.1-70B-Instruct costs $0.72 input / $0.72 output per million tokens (median across 8 API providers). At a typical mix of three input tokens to one output token, that is $0.493 per million tokens for WizardLM 2 8x22B versus $0.72 for Llama-3.1-70B-Instruct (1.5× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): Llama-3.1-70B-Instruct 44.2% and WizardLM 2 8x22B 43.4%. On individual benchmarks: GPQA Diamond — Llama-3.1-70B-Instruct 44.2%, WizardLM 2 8x22B 43.4%.

Which is better for coding?

There are no published SWE-bench Verified results for WizardLM 2 8x22B and Llama-3.1-70B-Instruct yet, so there is no like-for-like coding score. On overall capability, Llama-3.1-70B-Instruct leads, which tends to carry over to coding, but test on your own codebase. Note that WizardLM 2 8x22B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Llama-3.1-70B-Instruct has the largest context window at 128,000 tokens, against 65,536 for WizardLM 2 8x22B. Maximum output per response: WizardLM 2 8x22B up to 8,000, Llama-3.1-70B-Instruct up to 4,096 tokens.

Which can read images, PDFs, audio or video?

WizardLM 2 8x22B accepts text; Llama-3.1-70B-Instruct accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights (Apache-2.0), so you can self-host them.

Which is newer?

Llama-3.1-70B-Instruct is the newest, released Jul 23, 2024. WizardLM 2 8x22B came out Apr 15, 2024. Knowledge cutoff: Llama-3.1-70B-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 Nov 2, 2026.

05 — Keep comparing

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