Requesty
Fireworks AI

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 vision-language abilities while retaining full-stack, agent-level intelligence for coding, tool use, and productivity workflows. Its distinguishing trait is multi-modal interactive hybrid agent capability: it can perceive real-world scenes, read screens and interact with GUIs, generate code from visual references, and perform end-to-end navigation within mobile apps.

VisionTool callingCaching
Try qwen3.7-plusCompareDocs

Specifications

Context window262K tokens
Max output262K tokens
API typechat
AddedJun 13, 2026
Model IDfireworks/qwen3.7-plus
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyFireworks Privacy Policy→

Benchmarks

Released 2026-06-01
Coding Indexcoding
46.5%

Artificial Analysis Coding Index — a composite of coding evaluations including LiveCodeBench, SciCode and Terminal-Bench.

GPQA Diamondreasoning
90.0%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
53.3%

Artificial Analysis Intelligence Index — a composite of multiple evaluations measuring overall model capability.

Scores are sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and do not capture every aspect of model quality. Always test on your own workload.

Pricing

Input / 1M
$0.40
Output / 1M
$1.60
Cache write
N/A
Cache read / 1M
$0.08
Estimated cost
100K input + 10K output$0.0560
1M input + 100K output$0.56
10M input + 1M output$5.60

Requesty charges exactly what the upstream provider charges, no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to fireworks/qwen3.7-plus.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="fireworks/qwen3.7-plus",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

print(response.choices[0].message.content)

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Coding 43
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gpt-oss-20b
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deepseek-v4-flash
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Frequently asked questions

How much does qwen3.7-plus cost?
qwen3.7-plus is priced at $0.40 per million input tokens and $1.60 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges, we don't add markup.
What is the context window of qwen3.7-plus?
qwen3.7-plus has a context window of 262K tokens, with a maximum output of 262K tokens per response. That's roughly 350 words of input you can fit in a single prompt.
How does qwen3.7-plus perform on benchmarks?
qwen3.7-plus scores 93.0% on τ²-Bench, 90.0% on GPQA Diamond, 53.3% on Intelligence Index. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.
What can qwen3.7-plus do?
qwen3.7-plus supports vision input, tool calling, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use qwen3.7-plus with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "fireworks/qwen3.7-plus". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run qwen3.7-plus through Requesty?
Yes. qwen3.7-plus runs through Requesty's OpenAI-compatible API, served from Fireworks AI. You do not host the model yourself: point base_url at Requesty, set the model to "fireworks/qwen3.7-plus", and requests are routed to the upstream provider with automatic failover. The same key gives you 400+ other models too.

Access qwen3.7-plus through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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