Qwen3 Coder Next API model profile

Evidence snapshot: 2026-08-12

Qwen3 Coder Next is a Alibaba Qwen model profile with a 262,144-token context window. The dated catalog snapshot records text modalities and interfaces for agentic, coding, prompt caching, reasoning, structured output.

Qwen3 Coder Next is available under the Kendr alias kc-qwen3-coder-next. Current account availability and customer credit quotes come from Kendr's live public model API and applicable account policy.

Qwen3 Coder Next accepts text and returns text. The snapshot records agentic, coding, prompt caching, reasoning, structured output, text generation, tool calling, tools, and web search as capabilities or interfaces.

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

Profile facts

Profile type: Kendr API model
Kendr API alias: kc-qwen3-coder-next
Model developer: Alibaba Qwen
Kendr route provider: Provider-routed Qwen
Context window: 262K
Snapshot date: 2026-08-12
Reference catalog ID: qwen/qwen3-coder-next

Context, modalities, and identity

Model developer: Alibaba Qwen
Kendr route provider: Provider-routed Qwen
Context window: 262K
Maximum output: 262,144 tokens
Input modalities: text
Output modalities: text
Knowledge cutoff: Not disclosed

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters: frequency_penalty, logit_bias, logprobs, max_tokens, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

agentic
coding
prompt caching
reasoning
structured output
text generation
tool calling
tools
web search

Dated pricing snapshot

Reference figures are dated 2026-08-12; the live Kendr quote can differ by selected provider route, context tier, caching, tools, region, and current rate card.

Price date: 2026-08-12
Input: $0.12 per 1M tokens
Cached input: $0.07 per 1M tokens
Output: $0.8 per 1M tokens

Benchmark evidence and limitations

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Intelligence Index: 21.3
Coding Index: 36.2
Agentic Index: 8.9

Popularity and market context

Third-party catalog rank: No verified rank
Global market share: Not inferred
Observation date: 2026-08-12

OpenAI-compatible API example

This example applies to the published Kendr alias on this hosted profile. Check the live public catalog before use.

curl https://api.kendr.org/v1/chat/completions \
  -H "Authorization: Bearer $KENDR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kc-qwen3-coder-next","messages":[{"role":"user","content":"Hello"}]}'

Frequently asked questions

What is Qwen3 Coder Next?

What context window does Qwen3 Coder Next have?

The dated profile lists 262K of context and up to 262,144 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

What benchmark evidence is available for Qwen3 Coder Next?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

What is the Kendr API alias for Qwen3 Coder Next?

Use kc-qwen3-coder-next as the model value. The live public model API and signed-in catalog remain authoritative for route availability and customer credit quotes.

How is Qwen3 Coder Next priced on Kendr?

The dated reference snapshot lists $0.12 input and $0.8 output per million tokens. Cached input is $0.07 per million tokens. The separately published provider-route reference is Provider-specific (Bedrock $0.50 / $1.20; QwenCloud $0.30 / $1.50). Kendr applies one 5% markup to configured provider model cost; the live quote and settled routing receipt are authoritative for a request.

Sources and evidence dates

Qwen3 Coder Next third-party catalog record (catalog, checked 2026-08-12)
Third-party model catalog methodology (methodology, checked 2026-08-12)
Alibaba Qwen official model documentation (primary, checked 2026-08-12)
Artificial Analysis capability indices methodology (benchmark, checked 2026-08-12)
Qwen3 Coder Next provider or route reference (primary, checked 2026-08-12)