Qwen3.7 Plus pricing: real cost per million tokens

What Alibaba's Qwen3.7 Plus really costs across 4 plans from 3 providers: monthly fees, usable allowances and real per-token prices, against the official API list price and independent leaderboards.

Data updated · How real prices are computed

As of 2026-10-08, the cheapest way to use Qwen3.7 Plus is OpenCode Go at a real cost of about $0.00947 per million tokens ($10/month for roughly 1.056B tokens a month). We track 4 plans and API channels that serve Qwen3.7 Plus. Official API list price per million tokens: $0.08 cached input, $0.4 input, $1.6 output — about $0.0956 per million tokens on a standard workload mix.

Lowest real price
$0.00947/MTokOpenCode Go
API list price
$0.0956/MTokstandard workload mix
Most monthly tokens
1.056BOpenCode Go
Plans & APIs
44 subscriptions · 0 metered APIs
Maker
Alibaba
Model ID
qwen3.7-plus
Providers
Alibaba, Command Code, OpenCode
Leaderboards
Artificial Analysis Intelligence Index v4.3, Terminal-Bench 4.0 (AA), Agent Arena · Overall (Ranking / Pareto)

Plot Qwen3.7 Plus on the price–capability chart →

Qwen3.7 Plus plans and real prices

Real price = monthly fee ÷ tokens you can actually use in a month. “vs API” shows how many times cheaper than the official API list price (standard workload mix) the plan is. “Evidence” opens the full calculation and sources for that row.

Every tracked way to use Qwen3.7 Plus, cheapest first
PlanProviderBillingMonthly feeMonthly tokensReal $/MTokvs APIConfidenceData date
OpenCode GoOpenCodeSubscription$10/mo1.056B$0.0094710.1×MediumEvidence ↓
Command Code GOATCommand CodeSubscription$10/mo0.345B$0.028973.3×MediumEvidence ↓
Alibaba Cloud CN Coding Plan ProAlibabaSubscription$29.5/mo0.198B$0.1490.6×MediumEvidence ↓
Alibaba Cloud Coding Plan ProAlibabaSubscription$50/mo0.198B$0.25250.4×LowEvidence ↓

Behind each number

For every plan: the data date, the exact calculation, the quota basis, how leaderboard scores were mapped, and the original adoption evidence with its sources.

OpenCode GoOpenCode$0.00946701/MTok
Data date
2026-09-30 · official source date
Real price / MTok
$0.00946701
Monthly tokens
1,056,300,000 (1.056B)
Quota confidence
Medium
Calculation
$10 / month ÷ 1,056,300,000 tokens × 1,000,000 ≈ $0.00946701 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.08 / $0.4 / $1.6 · standard-load blended ≈ $0.0956/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json

Old: 1.2461B (request estimate)→1.0563B: min(shared monthly pool $60, model Usage $60) ÷ project standard-workload weighted price; ≤256K list price; the >256K band kept in research variants. The official request counts serve only as a cross-check and are no longer the primary allowance figure; allowances of different models in the same plan are not additive

Command Code GOATCommand Code$0.0289687/MTok
Data date
2026-09-30 · official source date
Real price / MTok
$0.0289687
Monthly tokens
345,200,000 (0.345B)
Quota confidence
Medium
Calculation
$10 / month ÷ 345,200,000 tokens × 1,000,000 ≈ $0.0289687 / MTok
Quota basis

Standard workload: 97% cache reads / 2.5% input / 0.5% output

Official API list (cached / in / out, per MTok): $0.08 / $0.4 / $1.6 · standard-load blended ≈ $0.0956/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json

Added 345.2M: min(shared monthly pool $70, model allowance $33) ÷ project standard-workload weighted price; official three-part pricing (this channel's cache read=$0.08). Processing fee ignored; allowances of different models in the same plan are not additive; no usage-panel token+% screenshot — computed from official absolute credits and the price list

Alibaba Cloud CN Coding Plan ProAlibaba$0.149011/MTok
Data date
2026-07 – 2026-08 · sampled
Real price / MTok
$0.149011
Monthly tokens
198,000,000 (0.198B)
Quota confidence
Medium
Calculation
$29.5 / month (¥200) ÷ 198,000,000 tokens × 1,000,000 ≈ $0.149011 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.08 / $0.4 / $1.6 · standard-load blended ≈ $0.0956/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

Caijing 2026-08 measurement ¥101 per hundred million tokens

Tier not stated — normalized at the ¥200 Pro tier; the old value 3.0B voided; not workload-normalized: Caijing ¥101 per hundred million tokens has no breakdown; exchange rate 1 USD = 6.7787 CNY (2026-09-04 CNY central parity rate; old rate 7.2); CNY monthly fee divided by the rate to get USD; https://www.xinhuanet.com/20260904/4c1ce1cbf39d416997cb9c237d6f5024/c.html

Alibaba Cloud Coding Plan ProAlibaba$0.252525/MTok
Data date
2026-07 – 2026-08 · derived; uses the data date of 阿里云百炼 Coding Plan Pro · qwen3.7-plus
Real price / MTok
$0.252525
Monthly tokens
198,000,000 (0.198B)
Quota confidence
Low
Calculation
$50 / month ÷ 198,000,000 tokens × 1,000,000 ≈ $0.252525 / MTok
Quota basis

Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is

Official API list (cached / in / out, per MTok): $0.08 / $0.4 / $1.6 · standard-load blended ≈ $0.0956/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.

Adoption evidence · source and rationale (translated from the Chinese record)

Same allowance as the CN tier

Not workload-normalized: same source as the CN tier (Caijing ¥101 per hundred million tokens), no breakdown

Qwen3.7 Plus benchmark scores

Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.

Qwen3.7 Plus on independent leaderboards
LeaderboardMetricScoreRankConfigurationEffortHarnessConfigsSnapshot
Artificial Analysis Intelligence Index v4.3Intelligence Index25.16#51 / 60Qwen3.7 Plus——12026-10-01
Terminal-Bench 4.0 (AA)Resolution Rate %1.01#41 / 53Artificial Analysis - Qwen3.7 Plus—Artificial Analysis12026-10-01
Agent Arena · Overall (Ranking / Pareto)Net Improvement %-7.28#34 / 39Qwen3.7 Plus——12026-09-30

Every archived configuration

Artificial Analysis Intelligence Index v4.3 1 configuration
Artificial Analysis Intelligence Index v4.3: every archived configuration (Intelligence Index)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Qwen3.7 Plus25.1622—— / — / —— / —2026-10-01Source · Archive
Terminal-Bench 4.0 (AA) 1 configuration
Terminal-Bench 4.0 (AA): every archived configuration (Resolution Rate %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Artificial Analysis - Qwen3.7 PlusAA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board.1.0101—Artificial Analysis / — / —— / —2026-10-01Source · Archive
Agent Arena · Overall (Ranking / Pareto) 1 configuration
Agent Arena · Overall (Ranking / Pareto): every archived configuration (Net Improvement %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Qwen3.7 Plus-7.28-8.75 – -5.81— / — / —— / $0.092026-10-01Source · Archive

These are reference mappings, not benchmarks of a subscription or API channel. Harness and quota-measurement effort alignment are unverified. Source task costs are not subscription task costs.

Qwen3.7 Plus official API pricing

List price per million tokens
Cached inputInputOutput
$0.08$0.4$1.6

Frequently asked questions

How much does Qwen3.7 Plus really cost per million tokens?

Measured as monthly fee ÷ tokens you can actually use, Qwen3.7 Plus ranges from $0.00947 (OpenCode Go) to $0.2525 (Alibaba Cloud Coding Plan Pro) per million tokens.

Which subscription gives the most Qwen3.7 Plus usage?

OpenCode Go allows roughly 1.056B tokens of Qwen3.7 Plus per month for $10.

What is the official API price of Qwen3.7 Plus?

Official API list price per million tokens: $0.08 cached input, $0.4 input, $1.6 output — about $0.0956 per million tokens on a standard workload mix.

How does Qwen3.7 Plus score on independent leaderboards?

Qwen3.7 Plus has scores on 3 leaderboards; its strongest placement is 1.01 (Resolution Rate %) on Terminal-Bench 4.0 (AA), #41 of 53 models tracked.

Who makes Qwen3.7 Plus, and where can I use it?

Qwen3.7 Plus (model ID qwen3.7-plus) is made by Alibaba and is available through Alibaba, Command Code, OpenCode.

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