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- Qwen 3.8 27B vs. Mistral Medium 3.5
Qwen 3.8 27Bvs.Mistral Medium 3.5
Which one is better?
Qwen 3.8 27B is clearly ahead in the overall index and is cheaper too: Mistral Medium 3.5 costs 37.5 times (input) and 3 times (output) as much per token.
Qwen 3.8 27B
Rank 44 to 57
Mistral Medium 3.5
Rank 78 to 92
Qwen 3.8 27B
slow
Mistral Medium 3.5
fairly fast
Qwen 3.8 27B
fairly cheap
Mistral Medium 3.5
fairly expensive
Qwen 3.8 27B
- Subscription
No Alibaba subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 10 plans in Germany.
- Via API
$0.04 input, $2.50 output per 1M tokens according to the provider; the price index has listed it at $0.42 and $3 since Oct 27, 2026.
Mistral Medium 3.5
- Subscription
Free to use at Mistral AI (Mistral Vibe Free), more from €7.13 a month (Mistral Vibe Pro Education). 5 plans in Germany.
- Via API
$1.50 input, $7.50 output per 1M tokens, more expensive since Oct 11, 2026 (before $0.40 and $2).
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
Qwen 3.8 27B ahead: 8Mistral Medium 3.5 ahead: 0level: 1too little data: 1of 10 areas
Show 2 more areas that do not count toward the overall index
See for yourself: same task, one attempt
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Shared test round: 43b8c5c46830
Qwen 3.8 27B

Test details
API reports 0 reasoning tokensAPI model: qwen/qwen3.8-27b865 output tokensMistral Medium 3.5

Test details
API reports 0 reasoning tokensAPI model: mistralai/mistral-medium-3-5502 output tokensEarlier tests
Pelican on a bicycle
A community classic for free-form SVG drawing.
Qwen 3.8 27B
Not tested yet
Mistral Medium 3.5

Reasoning (requested): high
Current attempt
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-medium-3-5
- API model reported in response
- mistralai/mistral-medium-3-5
- Reasoning setting
- high
- Pinned endpoint
- Mistral | mistralai/mistral-medium-3.5-20260430
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 38.7 s
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: high
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Qwen 3.8 27B | Mistral Medium 3.5 |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 11 | below 1 |
| Rank | Rank 44 to 57 of 95 | Rank 78 to 92 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.04 | $1.50 |
| Outputwhat the model writes | $2.50 | $7.50 |
| Speed | ||
| Tokens per second | 40 | 158 |
| Technical | ||
| Context windowhow much text the model reads at once | 262,144 tokens≈ 390 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Aug 14, 2026 | Apr 28, 2026 |
| Availability | Active | Active |
| Open weights | yes | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Qwen 3.8 27BB: Mistral Medium 3.5
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