ModelPriceWatch.com
Last scan 2026-09-22 Models tracked 266 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Qwen3.7-Max

by Together

Current mid tier mid tier
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Today's price · per 1M tokens

Input

$2.50

per 1M tokens

Output

$7.50

per 1M tokens

Blended

$3.75

blended $/1M — 3:1 weighted input:output

Cached input

$0.250

10% of input — prompt caching

How this price is scoped: $2.50 in / $0.25 cached / $7.50 out is Together's own standing rate, read from its pricing table on 2026-09-21. Together charged $2.00/$6.00 until at least 2026-09-11 and now matches Alibaba's first-party rate for the same SKU (tracked on the alibaba-qwen3-7-max row); cached input was $0.25 throughout.

Source: official Together pricing · read MODELPRICEWATCH.COM · 2026-09-22

Price receipt

We read Together's own pricing page on and found Qwen3.7-Max listed with a price on the same row — that read is where the number above comes from, recorded as a price increase. We keep the page text we read; its content hash is ebb76cf030.

Qwen3.7-Max is available on 2 hosts. See the full cheapest-first comparison on the consolidated Qwen3.7-Max page →

Overview

Alibaba's proprietary flagship agent model — reasoning-first with a 1M-token context and native extended thinking, built for long-horizon autonomy (up to ~35 hours / 1,000+ tool calls) across coding and workflow automation. API-only (no open weights). Text-only. Together lists it at $2.50/$7.50 per 1M tokens, matching Alibaba's own first-party rate.

Capabilities

struck through = not supported
Input 1/4
Text ✓ Image Audio Video
Output
Text ✓
Features 2/9
Prompt caching ✓ Reasoning Coding Fast inference Long context ✓ Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 50.9th3 independent measurements
Percentile per $/Mtok 13.6
GPQA Diamond vendor
68%
SWE-Bench Verified vendor
45%
Humanity's Last Exam vendor
25%
ARC-AGI 2 vendor
28%
AIME 2025 vendor
70%
MMMLU vendor
80%
BFCL vendor
68%
HumanEval vendor
84%
MATH 500 vendor
76%

Every per-benchmark score we hold for this model is reported by its own vendor, so none is counted toward an accuracy average or any ranking. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 29.9 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 13.5 (−100–100)
  • GDPval-AA v2: 1271.8 ELO (Real-world work tasks, human baseline = 1000)
How it stacks up
  • Ranks #70 of 181 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #141 of 181 comparably-tested models by normalized performance per dollar

100 tokens/sec output

Source: Artificial Analysis, Together AI, Qwen model card · updated · See full rankings →

Specifications

Provider
Together
Context window
1M tokens
Modality
text
Parameters
Proprietary
Open source
No — proprietary
Released
Status
Current
Last updated
Tags
cachingmid-tier

Availability verified: — listed on Together's own page

Try on Together Official pricing page