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- Qwen 3.8 27B vs. Mistral Large 4
Qwen 3.8 27Bvs.Mistral Large 4
Which one is better?
Mistral Large 4 is clearly ahead in the overall index, but costs 34 times (input) and 1.7 times (output) as much per token.
Qwen 3.8 27B
Rank 44 to 57
Mistral Large 4
Rank 34 to 43
Qwen 3.8 27B
slow
Mistral Large 4
fairly fast
Qwen 3.8 27B
fairly cheap
Mistral Large 4
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 Large 4
- Subscription
No Mistral AI subscription includes this model. Through other providers from ≈ €1.06 a month (Command Code Go, with limited credits). 12 plans in Germany.
- Via API
$1.36 input, $4.18 output per 1M tokens.
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: 0Mistral Large 4 ahead: 7level: 1too little data: 2of 10 areas
Show 1 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 Large 4

Test details
API reports 0 reasoning tokensAPI model: mistralai/mistral-large-4-0564 output tokensEarlier tests
This is the lowest documented setting for each provider. It does not make compute comparable across models.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Qwen 3.8 27B
The response reached the token limit. No complete recording is available.
Reasoning (requested): disabled (enabled: false)
Current attempt
- Run date
- Oct 11, 2026
- API provider
- Alibaba
- Requested API model
- qwen/qwen3.8-27b
- API model reported in response
- qwen/qwen3.8-27b
- Reasoning setting
- disabled (enabled: false)
- Pinned endpoint
- Alibaba | qwen/qwen3.8-27b-20260814
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Reasoning tokens
- 0
- Test protocol
- community-visual-low-v1
- Technical checks
- Failed
- Response time
- 119.1 s
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Mistral Large 4

Reasoning (requested): none
Current attempt
- Run date
- Oct 11, 2026
- API provider
- Mistral
- Requested API model
- mistralai/mistral-large-4-0
- API model reported in response
- mistralai/mistral-large-4-0
- Reasoning setting
- none
- Pinned endpoint
- Mistral | mistralai/mistral-large-4-0-20261006
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Reasoning tokens
- 0
- Test protocol
- community-visual-low-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 28.7 s
Visually reviewed. This individual test does not establish overall model quality.
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 Large 4 |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 11 | 28 |
| Rank | Rank 44 to 57 of 95 | Rank 34 to 43 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.04 | $1.36 |
| Outputwhat the model writes | $2.50 | $4.18 |
| Speed | ||
| Tokens per second | 40 | 113 |
| Technical | ||
| Context windowhow much text the model reads at once | 262,144 tokens≈ 390 A4 pages | 524,288 tokens≈ 790 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Aug 14, 2026 | Oct 6, 2026 |
| Availability | Active | Preview |
| Open weights | yes | n/a |
- Mistral Large 4, Launch pricing announced October 6, 2026: Mistral announced a 50% discount for two weeks. The published introductory rates are $0.68 input, $2.09 output and $0.07 cache read per 1M tokens. Price comparisons use the standard rates. Source
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 Large 4
Show 54 more benchmarks
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