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Model comparison · Updated 17 Aug 2026

Mixtral 8x22B Instruct vs GPT-3.5 Turbo 16k

Mixtral 8x22B Instruct is about 1.5× cheaper on input ($2.00 against $3.00 per 1M tokens), though GPT-3.5 Turbo 16k is cheaper on output. Mixtral 8x22B Instruct 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 $1,440 a month for Mixtral 8x22B Instruct and $1,710 for GPT-3.5 Turbo 16k.

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ModelsAtlas. “Mixtral 8x22B Instruct vs GPT-3.5 Turbo 16k”. Retrieved 17 Aug 2026. https://modelsatlas.com/compare/mistralai/mixtral-8x22b-instruct/vs/openai/gpt-3-5-turbo-16k

Model A

Mixtral 8x22B Instruct

by Mistral AI · weights not marked open · GRIDE2

Input / 1M
$2.00
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$6.00
Context66K
vs

Model B

GPT-3.5 Turbo 16k

by OpenAI · weights not marked open · GRIDF1

Input / 1M
$3.00
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$4.00
Context16K

Key numbers

Standard tier · highlighted = better

Mixtral 8x22B Instruct
GPT-3.5 Turbo 16k
Input / 1M tokens
$2.00
$3.00
Output / 1M tokens
$6.00
$4.00
Batch input / output
Not listed
Not listed
Context window
65,536
16,385
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
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
$1,440/mo
$1,710/mo
RAG over documents2k queries/day · 12k in, 500 out
$1,620/mo
$2,280/mo
Coding agent300 tasks/day · 60k in, 8k out
$1,512/mo
$1,908/mo

Mixtral 8x22B Instruct   GPT-3.5 Turbo 16k · 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)

2 squares apart. GPT-3.5 Turbo 16k (F1) sits 1 price band dearer and 1 context band smaller than Mixtral 8x22B Instruct (E2).

Same square as Mixtral 8x22B Instruct: Nano Banana 2.1 ($1.50), GPT-5.2 Chat ($1.75), Command R+ (08-2024) ($2.50). Open E2 · Open F1

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 valueGPT-5.2 Chat · E2Command R+ (08-2024) · E2GPT-4o · E2GPT Audio · E2Nano Banana 2.1 · E2Nano Banana Pro (Gemini 3 Pro Image) · E3GPT-3.5 Turbo Instruct · E1Claude Sonnet 4 · F3Mixtral 8x22B InstructMixtral 8x22B InstructGPT-3.5 Turbo 16kGPT-3.5 Turbo 16k
Mixtral 8x22B InstructGPT-3.5 Turbo 16kNearest neighboursOpen weights
View the map as a table (5 squares)
SquarePrice bandContext bandModels
GRIDE1$1–3<32KGPT-3.5 Turbo Instruct
GRIDE2$1–332–128KMixtral 8x22B Instruct, GPT-5.2 Chat, Command R+ (08-2024), GPT-4o, GPT Audio, Nano Banana 2.1
GRIDE3$1–3128–256KNano Banana Pro (Gemini 3 Pro Image)
GRIDF1$3–10<32KGPT-3.5 Turbo 16k
GRIDF3$3–10128–256KClaude Sonnet 4

Capabilities side by side

Only what our records list

Mixtral 8x22B Instruct
GPT-3.5 Turbo 16k
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Not listed
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 Mixtral 8x22B Instruct if…

  • you pay by the token: it costs $2.00 per 1M input against $3.00
  • your prompts are long: it takes 65,536 tokens against 16,385

Choose GPT-3.5 Turbo 16k if…

  • output dominates your bill: $4.00 per 1M output against $6.00

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 Mixtral 8x22B Instruct better than GPT-3.5 Turbo 16k?
We do not benchmark quality, so we cannot say. On the recorded numbers: Mixtral 8x22B Instruct is about 1.5× cheaper on input ($2.00 against $3.00 per 1M tokens), though GPT-3.5 Turbo 16k is cheaper on output. Mixtral 8x22B Instruct 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 $1,440 a month for Mixtral 8x22B Instruct and $1,710 for GPT-3.5 Turbo 16k. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Mixtral 8x22B Instruct or GPT-3.5 Turbo 16k?
Mixtral 8x22B Instruct: $2.00 against $3.00 per 1M input tokens, and $6.00 against $4.00 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Mixtral 8x22B Instruct: $2.00 input and $6.00 output. GPT-3.5 Turbo 16k: $3.00 input and $4.00 output. Standard tier, USD.
Which has the larger context window?
Mixtral 8x22B Instruct, with 65,536 tokens. GPT-3.5 Turbo 16k has 16,385 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Mixtral 8x22B Instruct: none recorded. For GPT-3.5 Turbo 16k: 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?
Mixtral 8x22B Instruct: not marked open-weight in our records. GPT-3.5 Turbo 16k: 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 $1,440 a month for Mixtral 8x22B Instruct and $1,710 for GPT-3.5 Turbo 16k. This is our calculation from the listed prices, not a quote.

About the two models

Mixtral 8x22B Instruct

By Mistral AI. $2.00 input and $6.00 output per 1M tokens, 66K context, atlas square E2. Tiers listed: standard.

Full specs & pricing →

GPT-3.5 Turbo 16k

By OpenAI. $3.00 input and $4.00 output per 1M tokens, 16K context, atlas square F1. Tiers listed: standard.

Full specs & pricing →

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