Mistral 7B vs Qwen-MT Turbo.
model vs model · prices as of
Qwen-MT Turbo takes 4 of 5 rounds against Mistral 7B. It is also the cheaper of the two to run, at $0.58 per million tokens against $1.
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
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)
$0.25/M
$0.16/M
List price out (lower wins)
$0.25/M
$0.49/M
Cheapest we can explain (lower wins)
none below list
$0.58/M at Alibaba Cloud (China)
Standard price (lower wins)
$1/M
$0.97/M
Cost per 1,000 pages (lower wins)
$0.165
$0.0774
Context
8k tokens
16k tokens
Open weights
yes
no
Tool calling
yes
no
Structured output
not stated
not stated
Reads images
no
no
Reasoning
no
no
Released
27 Sept 2023
1 Jan 2025
Providers selling it
3
4
Price we measure against
the maker's own
the maker's own
Trains on your prompts (no is better)
no provider to check
not stated
Providers selling both · 1
Eden AI$1 / $0.63
Mistral 7B then Qwen-MT Turbo, per million tokens
Go further
Add a third or fourth model, or switch the weighting, in the tool.
Frequently asked
- Which is cheaper, Mistral 7B or Qwen-MT Turbo?
- Qwen-MT Turbo, at $0.58 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?
- Mistral 7B: nobody goes below the maker's own price with a reason we can point at, so $1 is the number to beat. Qwen-MT Turbo: $0.58 at Alibaba Cloud (China).
- Can I buy both from one provider?
- Yes. One provider sells both: Eden AI. The cheapest of them for the two together is Eden AI.
- Which holds more context?
- Qwen-MT Turbo, at 16k 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.