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Model comparison · Updated 17 Aug 2026

WizardLM-2 8x22B vs GPT-3.5 Turbo

GPT-3.5 Turbo is about 1.2× cheaper on input ($0.50 against $0.62 per 1M tokens), though WizardLM-2 8x22B is cheaper on output. WizardLM-2 8x22B has the larger context window (66K against 16K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $335 a month for WizardLM-2 8x22B and $360 for GPT-3.5 Turbo.

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ModelsAtlas. “WizardLM-2 8x22B vs GPT-3.5 Turbo”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/microsoft/wizardlm-2-8x22b/vs/openai/gpt-3-5-turbo

Model A

WizardLM-2 8x22B

by Microsoft · weights not marked open · GRIDD2

Input / 1M
$0.62
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.62
Context66K
vs

Model B

GPT-3.5 Turbo

by OpenAI · weights not marked open · GRIDD1

Input / 1M
$0.50
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$1.50
Context16K

Key numbers

Standard tier · highlighted = better

WizardLM-2 8x22B
GPT-3.5 Turbo
Input / 1M tokens
$0.62
$0.50
Output / 1M tokens
$0.62
$1.50
Batch input / output
Not listed
$0.25 / $0.75
Context window
65,535
16,385
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
batch, standard
Prices checked
2026-08-17
2026-08-17

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$335/mo
$360/mo
RAG over documents2k queries/day · 12k in, 500 out
$465/mo
$405/mo
Coding agent300 tasks/day · 60k in, 8k out
$379/mo
$378/mo

WizardLM-2 8x22B   GPT-3.5 Turbo · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.

On the atlas

Price band (A–H) × context band (1–6)

1 square apart. GPT-3.5 Turbo (D1) sits 1 context band smaller than WizardLM-2 8x22B (D2).

Same square as WizardLM-2 8x22B: MiniMax M2-her ($0.30), Nano Banana (Gemini 2.5 Flash Image) ($0.30), Mistral Small 3.1 24B ($0.35). Same square as GPT-3.5 Turbo: Gemma 2 27B ($0.65). Open D2 · Open D1

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueQwen2.5 Coder 32B Instruct · D2Qwen2.5 VL 72B Instruct · D2Qwen2.5 72B Instruct · D2Mistral Small 3.1 24B · D2Nano Banana (Gemini 2.5 Flash Image) · D2MiniMax M2-her · D2Gemma 2 27B · D1WizardLM-2 8x22BWizardLM-2 8x22BGPT-3.5 TurboGPT-3.5 Turbo
WizardLM-2 8x22BGPT-3.5 TurboNearest neighboursOpen weights
View the map as a table (2 squares)
SquarePrice bandContext bandModels
GRIDD1$0.30–1<32KGPT-3.5 Turbo, Gemma 2 27B
GRIDD2$0.30–132–128KWizardLM-2 8x22B, Qwen2.5 Coder 32B Instruct, Qwen2.5 VL 72B Instruct, Qwen2.5 72B Instruct, Mistral Small 3.1 24B, Nano Banana (Gemini 2.5 Flash Image), MiniMax M2-her

Capabilities side by side

Only what our records list

WizardLM-2 8x22B
GPT-3.5 Turbo
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Supported
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose WizardLM-2 8x22B if…

  • output dominates your bill: $0.62 per 1M output against $1.50
  • your prompts are long: it takes 65,535 tokens against 16,385

Choose GPT-3.5 Turbo if…

  • you pay by the token: it costs $0.50 per 1M input against $0.62
  • work can wait: it lists a batch tier and the other does not

Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.

Questions

Is WizardLM-2 8x22B better than GPT-3.5 Turbo?
We do not benchmark quality, so we cannot say. On the recorded numbers: GPT-3.5 Turbo is about 1.2× cheaper on input ($0.50 against $0.62 per 1M tokens), though WizardLM-2 8x22B is cheaper on output. WizardLM-2 8x22B has the larger context window (66K against 16K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $335 a month for WizardLM-2 8x22B and $360 for GPT-3.5 Turbo. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, WizardLM-2 8x22B or GPT-3.5 Turbo?
GPT-3.5 Turbo: $0.50 against $0.62 per 1M input tokens, and $1.50 against $0.62 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
WizardLM-2 8x22B: $0.62 input and $0.62 output. GPT-3.5 Turbo: $0.50 input and $1.50 output. Standard tier, USD.
Which has the larger context window?
WizardLM-2 8x22B, with 65,535 tokens. GPT-3.5 Turbo has 16,385 tokens.
Do both offer batch pricing?
WizardLM-2 8x22B lists no batch tier. GPT-3.5 Turbo lists a batch tier, at 50% of its standard price.
Can both read images or audio?
Input types recorded for WizardLM-2 8x22B: none recorded. For GPT-3.5 Turbo: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.
Is either model open-weight?
WizardLM-2 8x22B: not marked open-weight in our records. GPT-3.5 Turbo: not marked open-weight in our records.
What would each cost for a support chatbot?
At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $335 a month for WizardLM-2 8x22B and $360 for GPT-3.5 Turbo. This is our calculation from the listed prices, not a quote.

About the two models

WizardLM-2 8x22B

By Microsoft. $0.62 input and $0.62 output per 1M tokens, 66K context, atlas square D2. Tiers listed: standard.

Full specs & pricing →

GPT-3.5 Turbo

By OpenAI. $0.50 input and $1.50 output per 1M tokens, 16K context, atlas square D1. Tiers listed: batch, standard.

Full specs & pricing →

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Opens with this page as the source. We add nothing else to the prompt.