Hunyuan A13B Instruct vs Mistral 7B.
model vs model · prices as of
Hunyuan A13B Instruct takes 3 of 5 rounds against Mistral 7B. It is also the cheaper of the two to run, at $0.99 per million tokens against $1.
Hunyuan A13B Instruct
$0.99/M tokens
OpenRouter list price, nothing below it is accounted for · $0.118 per 1,000 pages
131k context · open weights
Mistral 7B
$1/M tokens
Mistral AI list price, nothing below it is accounted for · $0.165 per 1,000 pages
8k context · tool calling · open weights
List price in (lower wins)
$0.14/M
$0.25/M
List price out (lower wins)
$0.57/M
$0.25/M
Cheapest we can explain (lower wins)
none below list
none below list
Standard price (lower wins)
$0.99/M
$1/M
Cost per 1,000 pages (lower wins)
$0.118
$0.165
Context
131k tokens
8k tokens
Open weights
yes
yes
Tool calling
no
yes
Structured output
yes
not stated
Reads images
no
no
Reasoning
yes
no
Released
8 Jul 2025
27 Sept 2023
Providers selling it
5
3
Price we measure against
OpenRouter
the maker's own
Trains on your prompts (no is better)
no provider to check
no provider to check
Providers selling both · 0
No provider we read sells both, so running the two means two accounts.
Go further
Add a third or fourth model, or switch the weighting, in the tool.
Frequently asked
- Which is cheaper, Hunyuan A13B Instruct or Mistral 7B?
- Hunyuan A13B Instruct, at $0.99 per million tokens against $1 for Mistral 7B, three parts input to one part output, read on 16 Sept 2026.
- Where is each one cheapest?
- Hunyuan A13B Instruct: nobody goes below OpenRouter's own price with a reason we can point at, so $0.99 is the number to beat. Mistral 7B: nobody goes below the maker's own price with a reason we can point at, so $1 is the number to beat.
- Can I buy both from one provider?
- No provider we read sells both, so running the two means two accounts and two bills.
- Which holds more context?
- Hunyuan A13B Instruct, at 131k tokens against 8k.
Prices exclude tax and are per million tokens, read 16 Sept 2026 from each provider's own catalog. The standard price blends three parts input to one part output; a page is 600 tokens in and 60 out. Bars are scaled to the larger value in each row.