Live survey286 models · 13 providers · 17,592 auditsAudited Using Git Worktrees · SAFE →What changedHow we verifyllms.txt

Model comparison · Updated 10 Oct 2026

Voxtral Small 24B 2507 vs Qwen3 14B

Voxtral Small 24B 2507 is about 1.2× cheaper on input ($0.10 against $0.12 per 1M tokens), though Qwen3 14B is cheaper on output. Qwen3 14B has the larger context window (41K against 33K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $72.00 a month for Voxtral Small 24B 2507 and $75.60 for Qwen3 14B.

Ask an AI about this pageGChatGPTCClaudePPerplexityGeGeminiXGrok
More
CoCopilotAIGoogle AI Mode
Cite

Cite this page

ModelsAtlas. “Voxtral Small 24B 2507 vs Qwen3 14B”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/mistralai/voxtral-small-24b/vs/qwen/3-14b

Model A

Voxtral Small 24B 2507

by Mistral AI · weights not marked open · GRIDC2

Input / 1M
$0.10
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.30
Context33K
vs

Model B

Qwen3 14B

by Qwen (Alibaba) · open weights · GRIDC2

Input / 1M
$0.12
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.24
Context41K

Key numbers

Standard tier · highlighted = better

Voxtral Small 24B 2507
Qwen3 14B
Input / 1M tokens
$0.10
$0.12
Output / 1M tokens
$0.30
$0.24
Batch input / output
Not listed
Not listed
Context window
32,768
40,960
Input types
Not disclosed
text
Weights
Not marked open
Open
License
Not disclosed
apache-2.0
Tiers listed
standard
standard
Prices checked
2026-09-01
2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$72.00/mo
$75.60/mo
RAG over documents2k queries/day · 12k in, 500 out
$81.00/mo
$93.60/mo
Coding agent300 tasks/day · 60k in, 8k out
$75.60/mo
$82.08/mo

Voxtral Small 24B 2507   Qwen3 14B · 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)

Same square. Voxtral Small 24B 2507 and Qwen3 14B share C2.

Same square as Voxtral Small 24B 2507: Qwen2.5 7B Instruct ($0.10), Qwen3 30B A3B ($0.12), Command R (08-2024) ($0.15). Open C2

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 7B Instruct · C2Qwen3 30B A3B · C2Command R (08-2024) · C2Saba · C2Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) · C2Voxtral Small 24B 2507Voxtral Small 24B 2507Qwen3 14BQwen3 14B
Voxtral Small 24B 2507Qwen3 14BNearest neighboursOpen weights
View the map as a table (1 squares)
SquarePrice bandContext bandModels
GRIDC2$0.10–0.3032–128KVoxtral Small 24B 2507, Qwen3 14B, Qwen2.5 7B Instruct, Qwen3 30B A3B, Command R (08-2024), Saba, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image)

Capabilities side by side

Only what our records list

Voxtral Small 24B 2507
Qwen3 14B
Vision input
Not disclosed
Not recorded
Audio input
Not disclosed
Not recorded
Open weights
Not marked open
Supported
Batch tier
Not listed
Not listed
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Which should you choose?

Editorial

Choose Voxtral Small 24B 2507 if…

  • you pay by the token: it costs $0.10 per 1M input against $0.12

Choose Qwen3 14B if…

  • output dominates your bill: $0.24 per 1M output against $0.30
  • your prompts are long: it takes 40,960 tokens against 32,768
  • you want open weights, so you can run the model yourself

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 Voxtral Small 24B 2507 better than Qwen3 14B?
We do not benchmark quality, so we cannot say. On the recorded numbers: Voxtral Small 24B 2507 is about 1.2× cheaper on input ($0.10 against $0.12 per 1M tokens), though Qwen3 14B is cheaper on output. Qwen3 14B has the larger context window (41K against 33K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $72.00 a month for Voxtral Small 24B 2507 and $75.60 for Qwen3 14B. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Voxtral Small 24B 2507 or Qwen3 14B?
Voxtral Small 24B 2507: $0.10 against $0.12 per 1M input tokens, and $0.30 against $0.24 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Voxtral Small 24B 2507: $0.10 input and $0.30 output. Qwen3 14B: $0.12 input and $0.24 output. Standard tier, USD.
Which has the larger context window?
Qwen3 14B, with 40,960 tokens. Voxtral Small 24B 2507 has 32,768 tokens.
Do both offer batch pricing?
Neither lists a batch tier in our catalogue.
Can both read images or audio?
Input types recorded for Voxtral Small 24B 2507: none recorded. For Qwen3 14B: text. 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?
Voxtral Small 24B 2507: not marked open-weight in our records. Qwen3 14B: open weights.
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 $72.00 a month for Voxtral Small 24B 2507 and $75.60 for Qwen3 14B. This is our calculation from the listed prices, not a quote.

About the two models

Voxtral Small 24B 2507

By Mistral AI. $0.10 input and $0.30 output per 1M tokens, 33K context, atlas square C2. Tiers listed: standard.

Full specs & pricing →

Qwen3 14B

By Qwen (Alibaba), open weights. $0.12 input and $0.24 output per 1M tokens, 41K context, atlas square C2. Tiers listed: standard.

Full specs & pricing →

Keep going in your AI

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