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Qwen3.8 Max

alibaba·alibaba/qwen3.8-max·GA·Closed·qwen series·NEW
2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

Qwen3.8 Max by alibaba is offered by 36 providers on this page. Public prices are shown for 32 of them. Its official list price is $2.00 per 1M input tokens and $6.00 per 1M output tokens. The lowest paid channel is Vancine at $1.60 / $4.80 per 1M, about 1.6× below the list price. That channel is a third-party gateway, so confirm its availability and rate limits before depending on it. It also has 1 free ($0) channel and 3 covered by a paid subscription; free tiers usually carry rate limits, and subscription-covered access bills $0 per token only after the subscription fee.

Artificial Analysis rates it 45.4 on the Intelligence Index, with 76.2 for coding and 56 for agentic tasks. Against its lowest blended price of $2.40 per 1M, that is roughly 19 index points per dollar, which is the value ratio the leaderboards rank on. Median output speed is 38 tokens per second, with 2.74s to the first token. Running one task of the Artificial Analysis suite costs about $5.4085, which reflects how many tokens its reasoning consumes rather than the unit price alone.

The context window is 1,000,000 tokens at the reference host, but hosts report different limits, from 256,000 to 1,048,576, so the usable window depends on the provider you pick. It supports reasoning, tool use, and structured output. Accepted input modalities are Text, Image, Video, and PDF. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use.

Specs & pricing

Input / output per 1M tokens
Official price·Alibaba
$2.00 / $6.00
Blended $3.00 · Cache read $0.25
Lowest paid·VancineGateway
$1.60 / $4.80
Blended $2.40 · 1.6× spread
1 more $0 channels
Context
1,000,000
Output limit
131,072
Knowledge cutoff
—
Released / updated
2026-08-03 / 2026-08-03
Capabilities
✓ Reasoning✓ Tool use✓ Structured output✓ Temperature✓ Attachments
⚠ Providers report capability flags inconsistently
Modalities
TextImageVideoPDF

Quality & performanceArtificial Analysis · Intelligence Index v4.3 · rep. tier 0902

Intelligence45.4
Value19
Coding76.2
Agentic56
Output speed38 tok/s
TTFT2.74 s
Cost per task$5.41
Value formulaIQ 45.4 ÷ min blended $2.400 = 19
Reasoning tier → intelligence / speed (higher tier = stronger but slower)
defaultIQ 40.2 · 37 tok/s
0902IQ 45.4 · 38 tok/s

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 36 providers32 with public prices · 1 free · 3 subscription-covered

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
Alibaba Token PlanGatewaySubscription$0$01,000,000131,072
Alibaba Token Plan (China)GatewaySubscription$0$01,000,000131,072
SCNet Token Plan
Qwen3.8-Max
GatewaySubscription$0—1,000,000131,072
Kenari
qwen3-8-max
GatewayFree——1,000,000131,072
VancineGateway$1.60$4.80$0.20—1,000,000131,072
Deep Infra
Qwen/Qwen3.8-Max
Cloud$1.65$4.95$0.21—256,000 ⚠131,072
AIHubMixGateway$1.69$5.07$0.17$2.11991,000 ⚠128,000
OfoxGateway$1.71$5.14$0.17$2.141,000,000131,072
Alibaba (China)OfficialFirst-party$1.78$5.33$0.22$2.221,000,000131,072
SCX.ai
Qwen3.8-Max
Gateway$1.82$5.45$0.17$2.501,000,000131,072

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Reasoning control

Toggle (on / off)effort = loweffort = mediumeffort = xhighbudget_tokenseffort = minimaleffort = higheffort = noneeffort = max

Interleaved thinking (reasoning between tool calls) is declared by 14 of 36 providers.

3 / 36 providers expose no reasoning control (reasoning_options: []).

Experimental modes1 items

ModeProviderInputOutputCache readCache write
priorityFireworks AI$3.00$9.00$0.38—

Your usage cost

1Vancine$392.00
2Deep Infra$404.27
3AIHubMix$408.98
4Ofox$414.20
5Alibaba (China) · Official$435.47
6SCX.ai$437.91

4 more channels offer $0 (Alibaba Token Plan, Alibaba Token Plan (China), SCNet Token Plan etc.); free tiers usually have rate limits and no SLA, excluded from ranking.

Switch to Vancine to save $43.47/mo (10%). The gap is small, so staying on the official channel is fine.
Note: this is a gateway; verify availability and rate limits yourself.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$7.50$02026-08-052026-09-242026-08-05 · Input list $2.502026-08-06 · Input list $2.502026-08-07 · Input list $2.502026-08-08 · Input list $2.502026-08-09 · Input list $2.002026-08-10 · Input list $2.002026-08-11 · Input list $2.002026-08-12 · Input list $2.002026-08-13 · Input list $1.782026-08-29 · Input list $1.782026-09-24 · Input list $2.002026-08-05 · Output list $7.502026-08-06 · Output list $7.502026-08-07 · Output list $7.502026-08-08 · Output list $7.502026-08-09 · Output list $6.002026-08-10 · Output list $6.002026-08-11 · Output list $6.002026-08-12 · Output list $6.002026-08-13 · Output list $5.332026-08-29 · Output list $5.332026-09-24 · Output list $6.002026-08-05 · Min blended $2.482026-08-06 · Min blended $2.482026-08-07 · Min blended $2.482026-08-08 · Min blended $2.482026-08-09 · Min blended $2.482026-08-10 · Min blended $2.482026-08-11 · Min blended $2.482026-08-12 · Min blended $2.482026-08-13 · Min blended $2.482026-08-29 · Min blended $2.402026-09-24 · Min blended $2.40

Benchmark32 items

NameConditionsScoreMetricSource
Terminal-Benchharness: Claude Code · variant: 5h timeout · v2.186.6avg@10Source ↗
SWE-Bench Proharness: Claude Code · dataset: Qwen refined and corrected task set67.7resolvedSource ↗
DeepSWEharness: Claude Code · v1.156.6scoreSource ↗
NL2Repoharness: Claude Code55.9scoreSource ↗
FrontierSWE—73.5dominance scoreSource ↗
MLS-Bench-Liteharness: Claude Code · variant: 5h timeout41scoreSource ↗
PaperBenchharness: BasicAgent · variant: Code-Dev; 3 runs; 12h timeout; Opus 4.6 judge93scoreSource ↗
AndroidBenchdataset: 95 public tasks75.1avg@3Source ↗
QwenSWEBenchharness: Claude Code · dataset: internal80.7avg@3Source ↗
QwenQoderBenchharness: Claude Code · dataset: internal58.4avg@5Source ↗
QwenReactBenchdataset: internal1724EloSource ↗
QwenSVGBenchdataset: internal1713EloSource ↗
CoWorkBenchdataset: internal74.8scoreSource ↗
WorkSpaceBench—67.7scoreSource ↗
JobBench—53.4scoreSource ↗
SkillsBenchharness: OpenCode · dataset: 87 tasks · v1.170.2avg@3Source ↗
Agents' Last Exam—27pass@1Source ↗
Agents' Last Exam—52.4scoreSource ↗
AutomationBenchdataset: 600 public tasks27.3pass@1Source ↗
Toolathlon-Verified—72.5pass@1Source ↗
WideSearchharness: Qwen-Agent81.9average item F1Source ↗
Humanity's Last Examvariant: with tools56.2scoreSource ↗
Humanity's Last Examvariant: without tools43.6scoreSource ↗
GPQA Diamond—92.6scoreSource ↗
IFBench—82.8scoreSource ↗
$OneMillion-Benchvariant: gemini-3.1-pro-preview judge52.5expert scoreSource ↗
HealthBench—60.2scoreSource ↗
PLawBenchvariant: gemini-3.1-pro-preview judge73.2scoreSource ↗
PRBenchvariant: legal57.6scoreSource ↗
PRBenchvariant: finance58.3scoreSource ↗
MRCRdataset: 256K; 8-needle · v292.9scoreSource ↗
LongBenchv266.3scoreSource ↗

The same benchmark scores very differently across harness / dataset, so the qualifying conditions must be shown together.

Artificial Analysis evaluations6 items

GPQA Diamond92.8%
Humanity's Last Exam43.1%
SciCode52.1%
Terminal-Bench 2.188.8%
τ³-Bench Banking47.8%
AA-LCR80.3%

Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.

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Data partly from models.dev (MIT) · Alibaba official docs ↗