Amazon Nova Pro vs Ling 3.1 Flash

Amazon · US  |  InclusionAI (Ant Group) · China · Updated June 2026

Quick verdict

Pick Amazon Nova Pro for multimodal input across text, image and video at $0.80/$3.20 or deep aws and bedrock integration for enterprise pipelines. Pick Ling 3.1 Flash for hybrid-reasoning moe — 560b total parameters, ~25b active per token, aimed at agents, tool use, and long-document work or artificial analysis intelligence index score of 41 — above average for its price tier. On a tight budget at scale, Ling 3.1 Flash is the value pick.

Amazon Nova Pro (Amazon, US) and Ling 3.1 Flash (InclusionAI (Ant Group), China) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. Amazon Nova Pro is amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. Ling 3.1 Flash is inclusionAI's (Ant Group) September 30, 2026 hybrid-reasoning MoE model — 560B parameters aimed at agents and long documents, launched as a free trial with weights still unreleased. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecAmazon Nova ProLing 3.1 Flash
ProviderAmazon (US) InclusionAI (Ant Group) (China)
ReleasedDecember 5, 2024 September 30, 2026
Context window300K (~450 pages) 262K tokens (~393 pages)
Price (in/out)$0.8/$3.2 per 1M tokens $0.3/$0.9 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image, video, code text, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Multimodal input across text, image and video at $0.80/$3.20

Amazon Nova Pro

Amazon Nova Pro lists multimodal input across text, image and video at $0.80/$3.20 among its strengths; Ling 3.1 Flash does not.

Deep AWS and Bedrock integration for enterprise pipelines

Amazon Nova Pro

Amazon Nova Pro lists deep AWS and Bedrock integration for enterprise pipelines among its strengths; Ling 3.1 Flash does not.

Balanced cost-to-capability for general business tasks

Amazon Nova Pro

Amazon Nova Pro lists balanced cost-to-capability for general business tasks among its strengths; Ling 3.1 Flash does not.

Hybrid-reasoning MoE — 560B total parameters, ~25B active per token, aimed at agents, tool use, and long-document work

Ling 3.1 Flash

Amazon Nova Pro is comparatively weak here — not a frontier reasoning or coding model against 2026 flagships

Artificial Analysis Intelligence Index score of 41 — above average for its price tier

Ling 3.1 Flash

At $0.3/$0.9 per 1M tokens it undercuts Amazon Nova Pro ($0.8/$3.2 per 1M tokens), and that gap compounds at volume.

First-party pricing of $0.30/$0.90 per million tokens, with an 80% cache-read discount ($0.06/MTok)

Ling 3.1 Flash

InclusionAI's (Ant Group) September 30, 2026 hybrid-reasoning MoE model — 560B parameters aimed at agents and long documents, launched as a free trial with weights still unreleased — and it runs cheaper at $0.3/$0.9 per 1M tokens.

Lowest cost at scale

Ling 3.1 Flash

At $0.3/$0.9 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Ling 3.1 Flash

At $0.3/$0.9 per 1M tokens it undercuts Amazon Nova Pro, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ Amazon Nova Pro

Larger 300K window fits more in one prompt.

Anyone whose priority is multimodal input across text, image and video at $0.80/$3.20

→ Amazon Nova Pro

It is specifically built for that.

Anyone whose priority is hybrid-reasoning moe — 560b total parameters, ~25b active per token, aimed at agents, tool use, and long-document work

→ Ling 3.1 Flash

That is its strongest area.

An enterprise with regional data-residency rules

→ Amazon Nova Pro or Ling 3.1 Flash

Origin (US vs China) affects where data is processed and which compliance regime applies — check the provider's terms for your region.

Amazon Nova Pro: where it fits

Amazon's multimodal Bedrock model at $0.80/$3.20 with a 300K window — an enterprise-integrated generalist, not a frontier model. Released December 5, 2024 by Amazon, it is built for multimodal input across text, image and video at $0.80/$3.20, deep AWS and Bedrock integration for enterprise pipelines, balanced cost-to-capability for general business tasks, and a 300K context for long documents and mixed media.

Its trade-offs are real: not a frontier reasoning or coding model against 2026 flagships, no published SWE-Bench Verified score, best value is realised inside the AWS ecosystem, and late-2024 model — older than most of the field here. At $0.8 in / $3.2 out per million tokens, it sits in the budget price band.

Ling 3.1 Flash: where it fits

InclusionAI's (Ant Group) September 30, 2026 hybrid-reasoning MoE model — 560B parameters aimed at agents and long documents, launched as a free trial with weights still unreleased. Released September 30, 2026 by InclusionAI (Ant Group), it is built for hybrid-reasoning MoE — 560B total parameters, ~25B active per token, aimed at agents, tool use, and long-document work, artificial Analysis Intelligence Index score of 41 — above average for its price tier, first-party pricing of $0.30/$0.90 per million tokens, with an 80% cache-read discount ($0.06/MTok), and predecessor Ling 3.0 Flash shipped MIT-licensed open weights, suggesting a similar path once 3.1 clears review.

Its trade-offs: shipped as an announcement plus a two-week free trial rather than a full release — no weights, no model card, and limited independent verification at launch, context window currently served at 262K tokens even though InclusionAI's stated target is 1M — the larger window isn't live yet, not yet open-weight despite InclusionAI saying it plans to open-source the model 'soon', and announced via WeChat rather than a formal English-language technical report, so some specs are vendor-reported only. At $0.3 in / $0.9 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

This is less "which is smarter" and more "which ecosystem fits." Amazon Nova Pro (US) and Ling 3.1 Flash (China) differ on pricing philosophy, data-residency, and tooling as much as on raw scores. Ling 3.1 Flash is the cheaper option, which matters at volume. The pragmatic move is to run one real task through both and judge the outputs against your own constraints — including where your data is allowed to be processed.

Want both Amazon Nova Pro and Ling 3.1 Flash without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is Amazon Nova Pro or Ling 3.1 Flash better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, Amazon Nova Pro leans toward multimodal input across text, image and video at $0.80/$3.20 while Ling 3.1 Flash leans toward hybrid-reasoning moe — 560b total parameters, ~25b active per token, aimed at agents, tool use, and long-document work, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, Amazon Nova Pro or Ling 3.1 Flash?

Ling 3.1 Flash is cheaper — $0.8/$3.2 per 1M tokens vs $0.3/$0.9 per 1M tokens, roughly 2.7× apart on input.

Which has the bigger context window?

Effectively neither — 300K vs 262K tokens is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both Amazon Nova Pro and Ling 3.1 Flash together?

Yes — a multi-model platform like LumiChats gives you Amazon Nova Pro, Ling 3.1 Flash and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, Amazon Nova Pro or Ling 3.1 Flash?

Ling 3.1 Flash — released September 30, 2026, about 22 months after Amazon Nova Pro.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.