aiticker

Qwen · Released Jun 3, 2026

Qwen3.7 Plus

Qwen3.7-Plus is a cost-effective model in Alibaba's Qwen3.7 series. It supports text and image input with text output, building on the series' text capabilities with a comprehensive upgrade to its...

ReasoningVision
  • Top 37%OTIS Mock AIME
  • Top 40%GPQA Diamond
  • Top 48%CritPt
  • Top 49%LMCA
Compare in showdown → OpenRouter ↗ All Qwen models
Released
Jun 3 2026
Context window
1M 131K out
Input / 1M tokens
$0.32 from $0.23
Output / 1M tokens
$1.28 from $0.92

Where to run it

31 providers compared

Included in Alibaba Coding Plan (China), Alibaba Token Plan, Alibaba Coding Plan, Alibaba Token Plan (China), OpenCode Go. Cheapest: 302.AI at $0.23 / $0.92 per 1M input / output tokens — 81% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
Alibaba Coding Plan (China)subscription plan Plan Plan Plan1M64K— Plan
Alibaba Token Plansubscription plan Plan Plan Plan1M66K— Plan
Alibaba Coding Plansubscription plan Plan Plan Plan1M64K— Plan
Alibaba Token Plan (China)subscription plan Plan Plan Plan1M66K— Plan
OpenCode Gosubscription plan Plan Plan Plan1M66K— Plan
302.AI $0.23 $0.92 $0.0231M64K— Cheapest
Alibaba (China) $0.28 $1.10 $0.0281M64K— +20%
AIHubMix $0.28 $1.13 $0.056991K64K— +23%
CrossModel $0.32 $1.25 $0.0321M64K— +38%
Alibabaus-east-1 $0.32 $1.28 $0.0641M131K100%24h +40%
Alibaba $0.32 $1.28 $0.0641M131K100%24h +40%
Cloudflare AI Gateway $0.32 $1.28 $0.0641M64K— +40%
Kilo Gateway $0.32 $1.28 $0.0641M131K— +40%
Pioneer $0.32 $1.28 $0.0641M64K— +40%
Requesty $0.32 $1.28 $0.0321M131K— +40%
Standard Compute $0.32 $1.28 $0.0641M50K— +40%
OrcaRouter $0.35 $1.42 $0.0711M64K— +54%
Kenari $0.38 $1.49 $0.0741M64K— +64%
NanoGPT $0.40 $1.60 $0.08992K66K— +75%
Vercel AI Gateway $0.40 $1.60 $0.081M64K— +75%
LLM Gateway $0.40 $1.60 $0.08984K66K— +75%
LLMTR $0.40 $1.60 $0.081M64K— +75%
ZenMux $0.40 $1.60 $0.081M64K— +75%
ClinePass $0.40 $1.60 $0.041M64K— +75%
DevPass (LLM Gateway) $0.40 $1.60 $0.08984K64K— +75%
Merge Gateway $0.40 $1.60 —1M66K— +75%
Ofox $0.40 $1.60 $0.081M64K— +75%
Impossibl $0.40 $1.60 $0.081M64K— +75%
EmpirioLabs AI $0.40 $1.60 $0.401M66K— +75%
Venice AI $0.50 $2.00 $0.051M66K— +118%
Modelis $0.77 $3.07 —1M64K— +235%
Charm Hyper $1.20 $4.80 $0.241M64K— +424%

Value

Price vs. performance

12 models score higher for the same price or lesson GPQA Diamond, e.g. DeepSeek V4.1 Flash 1017.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.047/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.44/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in o1 (OpenAI) — 76.8% · $15.00/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in Qwen3.7 Plus

Qwen3.7 Plus Other Qwen Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

8 benchmark scores

BenchmarkScoreRankLeader
FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues 10.2% #41of 41 Claude Opus 5.554.6%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 46.1% #61of 102 Claude Opus 5.566.9%
OSWorld 2.0Agents & computer use · Long real-world desktop and web tasks 2.8% #9of 9 Claude Opus 531.4%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 87.9% #48of 122 Gemini 4 Argon96.4%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 9.1% #53of 111 GPT-5.6 Sol32.3%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 37.6% #60of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 34.4% #60of 87 GPT-6.1 Sol93.7%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 93.3% #44of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
qwen/qwen3.7-plus
Developer
Qwen
Release date
Jun 3, 2026 ·
Context window
1,000,000 tokens
Max output
131,072 tokens
API price
$0.32 / $1.28 per 1M input / output tokens
Providers
31
Input types
text, image
Reasoning
Yes
Tool calling
Yes
Open weights
No
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.