A cross-benchmark capability estimate. Index points, not a percentage; intervals show uncertainty.
140170
Qwen3.8 Max (0902)
Qwen3.8 Max (0902) · 95% interval 153.7–158.1
Model performance
Radar task score: four tests, equal weight. An experimental summary of these tasks, not a universal intelligence rating.
Qwen3.8 Max (0902)
Radar task score
/ 100
3/4 core tests · not enough evidence
7 benchmark results for this configuration
Scientific reasoning
GPQA Diamond · 25%
Expert-written science questions; strict multiple-choice scoring. Chance accuracy is 25%.
050100%
Qwen3.8 Max (0902)92.3*%Approx. 95% interval: 88.9–95.7%
Novel problem solving
Mystery Game Puzzles · 25%
Best-next-move puzzles in an undisclosed game variant. A narrow reasoning test, not general intelligence.
050100%
Qwen3.8 Max (0902)Not available
Advanced mathematics
FrontierMath Tiers 1-3 · 25%
Private v2 mathematics problems with Python tools. Earlier versions and Tier 4 are excluded.
050100%
Qwen3.8 Max (0902)65.6*%Approx. 95% interval: 60.1–71.1%
Factual answers
SimpleQA Verified · 25%
Correct factual answers under a guessing prompt, graded by a model. Not a hallucination or abstention score.
050100%
Qwen3.8 Max (0902)47.3*%Approx. 95% interval: 44.2–50.4%
End-to-end software
MirrorCode · Separate result
Whole-program reimplementation with hidden tests; ML + Private, two languages. Budget: seven days and ten billion tokens per attempt.
050100%
Qwen3.8 Max (0902)47.8*%Approx. 95% interval: 27.6–67.9%
Competition mathematics
OTIS Mock AIME 2024-2025 · Separate result
Competition problems with model-extracted answers checked against an exact key. Earlier grading procedures are excluded.
050100%
Qwen3.8 Max (0902)100.0*%Uncertainty not available
Research mathematics
FrontierMath Tier 4 v2 · Separate result
The hardest private FrontierMath problems, corrected v2 set, with Python tools. Separate from Tiers 1-3 in the core score.
050100%
Qwen3.8 Max (0902)34.1*%Approx. 95% interval: 19.5–48.8%
Visual spatial reasoning
Furniture Assembly · Separate result
Assembly-error detection from photos and manuals, with zoom and Python tools. Uses model-assisted grading; not a general vision score.
050100%
Qwen3.8 Max (0902)20.0*%Approx. 95% interval: 9.8–30.2%
Bars show reported task scores. Whiskers are approximate 95% intervals where standard errors are available. Different reasoning budgets are not equal-cost tests. Missing results are never zero.
Run it locally
Inference · memory estimate
Qwen3.8 Max (0902)
Closed weights. No supported local deployment or GPU requirement is published.
Capabilities
Context window
1,000,000 tokens*
Maximum output
131,072 tokens*
Reasoning
Yes*
Tool calling
Yes*
Open weights
No*
Input modalities
text*
image*
video*
pdf*
Output modalities
text*
System configuration
Detailed specifications
Specifications 1 · 4 fields
Access model
API access*
Open weights
No*
Organization
Alibaba*
Organization country
China*
Specifications 2 · 19 fields
File attachments
Yes*
Context window
1,000,000* tokens
Model family
qwen*
Input modalities
text*
image*
video*
pdf*
Maximum output
131,072* tokens
Output modalities
text*
API service · Ofox · qwen/qwen3.8-max-0902
Provider
Ofox*
Model
qwen/qwen3.8-max-0902*
Snapshot
2026-10-26*
Token limits
context
1,000,000*
output
131,072*
Modalities
input
text*
image*
video*
pdf*
output
text*
Reasoning
Yes*
Reasoning controls
type
toggle*
type
effort*
values
low*
medium*
xhigh*
type
budget_tokens*
min
0*
max
262,144*
Tool calling
Yes*
Structured output
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
1.71*
output
5.14*
cache_read
0.17*
cache_write
2.14*
API service · EmpirioLabs AI · qwen3-8-max-0902
Provider
EmpirioLabs AI*
Model
qwen3-8-max-0902*
Snapshot
2026-10-26*
Token limits
context
1,000,000*
output
131,072*
Modalities
input
text*
image*
video*
output
text*
Reasoning
Yes*
Reasoning controls
type
effort*
values
none*
low*
medium*
high*
max*
type
budget_tokens*
min
1*
max
262,144*
Tool calling
Yes*
Structured output
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
2*
API service · Ofox · bailian/qwen3.8-max-0902
Provider
Ofox*
Model
bailian/qwen3.8-max-0902*
Snapshot
2026-10-26*
Token limits
context
1,000,000*
output
131,072*
Modalities
input
text*
image*
video*
pdf*
output
text*
Reasoning
Yes*
Reasoning controls
type
toggle*
type
effort*
values
low*
medium*
xhigh*
type
budget_tokens*
min
0*
max
262,144*
Tool calling
Yes*
Structured output
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
0.25*
cache_write
2.5*
API service · NanoGPT · qwen/qwen3.8-max-0902
Provider
NanoGPT*
Model
qwen/qwen3.8-max-0902*
Snapshot
2026-10-26*
Token limits
context
991,808*
input
991,808*
output
131,072*
Modalities
input
text*
image*
video*
pdf*
output
text*
Reasoning
Yes*
Reasoning controls
type
effort*
values
none*
low*
medium*
high*
max*
Tool calling
Yes*
Structured output
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
0.25*
cache_write
2.5*
API service · CommandCode · Qwen/Qwen3.8-Max-0902
Provider
CommandCode*
Model
Qwen/Qwen3.8-Max-0902*
Snapshot
2026-10-26*
Token limits
context
1,000,000*
output
131,072*
Modalities
input
text*
image*
video*
pdf*
output
text*
Reasoning
Yes*
Reasoning controls
type
effort*
values
low*
medium*
xhigh*
Tool calling
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
0.25*
API service · Kilo Gateway · qwen/qwen3.8-max-0902
Provider
Kilo Gateway*
Model
qwen/qwen3.8-max-0902*
Snapshot
2026-10-26*
Token limits
context
1,000,000*
output
131,072*
Modalities
input
text*
image*
video*
output
text*
Reasoning
Yes*
Reasoning controls
type
effort*
values
minimal*
low*
medium*
high*
xhigh*
Tool calling
Yes*
Structured output
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
0.25*
cache_write
2.5*
API service · OpenRouter · qwen/qwen3.8-max-0902
Provider
OpenRouter*
Model
qwen/qwen3.8-max-0902*
Snapshot
2026-10-26*
Token limits
context
1,000,000*
output
131,072*
Modalities
input
text*
image*
video*
output
text*
Reasoning
Yes*
Reasoning controls
type
effort*
values
minimal*
low*
medium*
high*
xhigh*
Tool calling
Yes*
Structured output
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
0.25*
API service · Eden AI · qwen/qwen3.8-max-0902
Provider
Eden AI*
Model
qwen/qwen3.8-max-0902*
Snapshot
2026-10-26*
Token limits
context
1,000,000*
output
131,072*
Modalities
input
text*
image*
video*
output
text*
Reasoning
Yes*
Reasoning controls
type
effort*
values
none*
low*
medium*
xhigh*
Tool calling
Yes*
Structured output
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
0.25*
cache_write
2.5*
API service · Vercel AI Gateway · alibaba/qwen3.8-max-0902
Provider
Vercel AI Gateway*
Model
alibaba/qwen3.8-max-0902*
Snapshot
2026-10-26*
Token limits
context
991,000*
output
128,000*
Modalities
input
text*
image*
pdf*
output
text*
Reasoning
Yes*
Reasoning controls
type
toggle*
type
effort*
values
low*
medium*
xhigh*
type
budget_tokens*
min
0*
max
262,144*
Tool calling
Yes*
Temperature control
Yes*
File attachments
Yes*
Prices (USD per million tokens)
input
2*
output
6*
cache_read
0.25*
cache_write
2.5*
API service · Standard Compute · qwen/qwen3.8-max-0902