Qwen3.5-397B-A17B vs Trinity-Large-Thinking

Name: Qwen3.5-397B-A17B
Author: Alibaba

Qwen3.5-397B-A17B (2026) and Trinity-Large-Thinking (2026) are frontier-tier reasoning models from Alibaba and Arcee AI. Qwen3.5-397B-A17B ships a 262k-token context window, while Trinity-Large-Thinking ships a 256k-token context window. On Google-Proof Q&A, Qwen3.5-397B-A17B leads by 0.1 pts. On pricing, Trinity-Large-Thinking costs $0.22/1M input tokens versus $0.39/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Trinity-Large-Thinking is ~77% cheaper at $0.22/1M; pay for Qwen3.5-397B-A17B only for long-context analysis.

Decision scorecard

Local evidence first

Signal	Qwen3.5-397B-A17B	Trinity-Large-Thinking	How to read it
Best for	reasoning-heavy apps, multimodal apps, and tool-calling agents	reasoning-heavy apps, tool-calling agents, and provider-routed production	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	RAG, Agents, and Long context	Primary workload tags from local decision data.
Context window	262k	256k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$2.34/1M tokens	$0.85/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	3 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	Google-Proof Q&A leader	1 shared	Visible benchmark lead is 0.1 points on Google-Proof Q&A.

Decision tradeoffs

Choose Qwen3.5-397B-A17B when...

Qwen3.5-397B-A17B holds a shared-benchmark lead on Google-Proof Q&A, ahead by 0.1 points.
Qwen3.5-397B-A17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
Qwen3.5-397B-A17B has broader tracked provider coverage for fallback and route flexibility.
Qwen3.5-397B-A17B uniquely exposes Vision and Multimodal in local model data.
Local decision data tags Qwen3.5-397B-A17B for Coding, RAG, and Agents.

Choose Trinity-Large-Thinking when...

Trinity-Large-Thinking has the lower cheapest tracked output price at $0.85/1M tokens.
Local decision data tags Trinity-Large-Thinking for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Trinity-Large-Thinking

Requests / monthInput tokens / requestOutput tokens / request

Qwen3.5-397B-A17B

$897

Cheapest tracked route/tier: OpenRouter

Trinity-Large-Thinking

$389

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $509. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Qwen3.5-397B-A17B -> Trinity-Large-Thinking

Provider overlap exists on OpenRouter; start route-level A/B tests there.
Trinity-Large-Thinking is $1.49/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision and Multimodal before moving production traffic.

Trinity-Large-Thinking -> Qwen3.5-397B-A17B

Provider overlap exists on OpenRouter; start route-level A/B tests there.
Qwen3.5-397B-A17B is $1.49/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
Qwen3.5-397B-A17B adds Vision and Multimodal in local capability data.

Specs

Specification	Qwen3.5-397B-A17B Alibaba	Trinity-Large-Thinking Arcee AI
Released	2026-02-16	2026-04-01
Context window	262k	256k
Parameters	397B	400B
Architecture	Mixture of Experts	Mixture of Experts
License	Apache 2.0OSI-approved	Apache 2.0OSI-approved
Openness	Open source	Open source
Weights	Available	Available
Code	Unknown	Unknown
Commercial use	Commercial use: permitted	Commercial use: permitted
Knowledge cutoff	-	-

Pricing and availability

Pricing attribute	Qwen3.5-397B-A17B	Trinity-Large-Thinking
Input price	$0.39/1M tokens	$0.22/1M tokens
Output price	$2.34/1M tokens	$0.85/1M tokens
Providers	OpenRouter Together AI Alibaba Cloud PAI-EAS Novita AI	Arcee AI OpenRouter Vercel AI Gateway

Capabilities

Capability	Qwen3.5-397B-A17B	Trinity-Large-Thinking
Vision	Yes	No
Multimodal	Yes	No
Reasoning	Yes	Yes
JSON / Tool use	Yes	Yes
Structured outputs	Yes	Yes
Code execution	No	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	Qwen3.5-397B-A17B	Trinity-Large-Thinking
Google-Proof Q&A	89.3	89.2

Continue comparing

Model pages

Labs and families

Related comparisons

Popular comparisons for Qwen3.5-397B-A17B

Popular comparisons for Trinity-Large-Thinking

Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.

Both models

Qwen3.5-397B-A17B Trinity-Large-Thinking