Hunyuan A13B Instruct vs Qwen-MT Turbo.
model vs model · prices as of
Qwen-MT Turbo takes 3 of 5 rounds against Hunyuan A13B Instruct. It is also the cheaper of the two to run, at $0.58 per million tokens against $0.99.
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
Qwen-MT Turbo
$0.58/M tokens
cheapest we can explain, at Alibaba Cloud (China) · $0.0774 per 1,000 pages
16k context
List price in (lower wins)
$0.14/M
$0.16/M
List price out (lower wins)
$0.57/M
$0.49/M
Cheapest we can explain (lower wins)
none below list
$0.58/M at Alibaba Cloud (China)
Standard price (lower wins)
$0.99/M
$0.97/M
Cost per 1,000 pages (lower wins)
$0.118
$0.0774
Context
131k tokens
16k tokens
Open weights
yes
no
Tool calling
no
no
Structured output
yes
not stated
Reads images
no
no
Reasoning
yes
no
Released
8 Jul 2025
1 Jan 2025
Providers selling it
5
4
Price we measure against
OpenRouter
the maker's own
Trains on your prompts (no is better)
no provider to check
not stated
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 Qwen-MT Turbo?
- Qwen-MT Turbo, at $0.58 per million tokens against $0.99 for Hunyuan A13B Instruct, 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. Qwen-MT Turbo: $0.58 at Alibaba Cloud (China).
- 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 16k.
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.