Choose AI21: Jamba Large 1.7 if…
- you need to fit long inputs in one request — 256K tokens is roughly 384 pages, against 197
AI21: Jamba Large 1.7 vs inclusionAI: Ling 3.0 Flash VL
Neither wins outright: AI21: Jamba Large 1.7 is the pick when you need to fit long inputs in one request, inclusionAI: Ling 3.0 Flash VL when cost matters at scale.
Key numbers
| Spec | AI21: Jamba Large 1.7 | inclusionAI: Ling 3.0 Flash VL |
|---|---|---|
| Provider | AI21 | inclusionAI |
| Input price (per 1M tokens) | $2.00 | $0.06 |
| Output price (per 1M tokens) | $8.00 | $0.18 |
| Blended price (3:1 input/output) | $3.50 | $0.09 |
| Cheaper than … of all models we track | 18% | 82% |
| Context window | 256K tokens (~384 pages) | 131K tokens (~197 pages) |
| Larger context than … of all models | 44% | 22% |
| Max output per response | 4K tokens (~3,100 words) | 33K tokens (~24,600 words) |
| Input types | text | text, image, video |
| Output types | text | text |
| Free variant | No | Yes |
| Listed since | 2025-08-08 | 2026-09-10 |
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What it costs for real workloads
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | AI21: Jamba Large 1.7 | inclusionAI: Ling 3.0 Flash VL | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $310 | $8.10 | inclusionAI: Ling 3.0 Flash VL saves $302 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $320 | $9.00 | inclusionAI: Ling 3.0 Flash VL saves $311 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $336 | $9.36 | inclusionAI: Ling 3.0 Flash VL saves $327 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $208 | $5.88 | inclusionAI: Ling 3.0 Flash VL saves $202 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $108 | $3.18 | inclusionAI: Ling 3.0 Flash VL saves $105 |
Capabilities side by side
| Capability | AI21: Jamba Large 1.7 | inclusionAI: Ling 3.0 Flash VL | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | — | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | — | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Price history
- AI21: Jamba Large 1.7: price unchanged since we started tracking it on 2026-03-10.
- inclusionAI: Ling 3.0 Flash VL: input price raised 65% ($0.02 → $0.06/1M), output price raised 66% ($0.06 → $0.18/1M) on 2026-10-14 (2 price changes since 2026-09-12).
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-10-14 | inclusionAI: Ling 3.0 Flash VL | $0.06 | $0.18 |
| 2026-09-26 | inclusionAI: Ling 3.0 Flash VL | $0.02 | $0.06 |
Which should you choose?
Choose inclusionAI: Ling 3.0 Flash VL if…
- cost matters at scale — it is 97% cheaper on a typical 3:1 input/output mix ($8.10 vs $310 a month for 50,000 support chats)
- you need reasoning / thinking mode — to spend extra tokens thinking before answering hard problems; AI21: Jamba Large 1.7 does not advertise it
- you need image input — to read screenshots, charts and scanned pages; AI21: Jamba Large 1.7 does not advertise it
- you need seed (reproducible sampling) — to repeat a generation for tests and evals; AI21: Jamba Large 1.7 does not advertise it
- you generate long outputs in one go — up to 33K tokens (about 24,600 words) per response
- you want to prototype at zero cost — a free variant is listed
- you want the newer model — released 2026-09-10, 13 months after the other
Frequently asked questions
Is AI21: Jamba Large 1.7 better than inclusionAI: Ling 3.0 Flash VL?
Neither wins outright: AI21: Jamba Large 1.7 is the pick when you need to fit long inputs in one request, inclusionAI: Ling 3.0 Flash VL when cost matters at scale. In short: AI21: Jamba Large 1.7 when you need to fit long inputs in one request; inclusionAI: Ling 3.0 Flash VL when cost matters at scale, you need reasoning / thinking mode, you need image input, you need seed (reproducible sampling), you generate long outputs in one go, you want to prototype at zero cost, you want the newer model.
Which is cheaper, AI21: Jamba Large 1.7 or inclusionAI: Ling 3.0 Flash VL?
inclusionAI: Ling 3.0 Flash VL is cheaper: $0.09 vs $3.50 per 1M tokens at a typical 3:1 input/output mix, 97% less. For 50,000 support conversations a month that is $8.10 against $310.
How much do AI21: Jamba Large 1.7 and inclusionAI: Ling 3.0 Flash VL cost per million tokens?
AI21: Jamba Large 1.7 costs $2.00 per 1M input tokens and $8.00 per 1M output tokens; inclusionAI: Ling 3.0 Flash VL costs $0.06 input and $0.18 output. Output tokens are billed separately, so long answers shift the gap.
Which has the bigger context window, AI21: Jamba Large 1.7 or inclusionAI: Ling 3.0 Flash VL?
AI21: Jamba Large 1.7: 256K tokens, about 384 pages, against 131K (about 197 pages) for inclusionAI: Ling 3.0 Flash VL.
Do AI21: Jamba Large 1.7 and inclusionAI: Ling 3.0 Flash VL support function calling and JSON output?
Tool calling — AI21: Jamba Large 1.7: yes, inclusionAI: Ling 3.0 Flash VL: yes. JSON-schema structured output — AI21: Jamba Large 1.7: yes, inclusionAI: Ling 3.0 Flash VL: yes.
Can AI21: Jamba Large 1.7 or inclusionAI: Ling 3.0 Flash VL read images?
Only inclusionAI: Ling 3.0 Flash VL accepts image input; AI21: Jamba Large 1.7 is text-only for input.
Is AI21: Jamba Large 1.7 or inclusionAI: Ling 3.0 Flash VL free to use?
inclusionAI: Ling 3.0 Flash VL has a free variant (inclusionai/ling-3.0-flash-vl:free). Free variants usually carry tighter rate limits.
What is the maximum output length of AI21: Jamba Large 1.7 and inclusionAI: Ling 3.0 Flash VL?
AI21: Jamba Large 1.7 can write up to 4K tokens (about 3,100 words) per response; inclusionAI: Ling 3.0 Flash VL up to 33K (about 24,600 words).
When were AI21: Jamba Large 1.7 and inclusionAI: Ling 3.0 Flash VL released?
AI21: Jamba Large 1.7 was listed on 2025-08-08; inclusionAI: Ling 3.0 Flash VL on 2026-09-10.
Has the price of AI21: Jamba Large 1.7 or inclusionAI: Ling 3.0 Flash VL changed?
AI21: Jamba Large 1.7: price unchanged since we started tracking it on 2026-03-10. inclusionAI: Ling 3.0 Flash VL: input price raised 65% ($0.02 → $0.06/1M), output price raised 66% ($0.06 → $0.18/1M) on 2026-10-14 (2 price changes since 2026-09-12).
About the two models
AI21: Jamba Large 1.7
Jamba Large 1.7 is the latest model in the Jamba open family, offering improvements in grounding, instruction-following, and overall efficiency. Built on a hybrid SSM-Transformer architecture with a 256K context...
Full AI21: Jamba Large 1.7 specs →inclusionAI: Ling 3.0 Flash VL
Ling 3.0 Flash VL builds on Ling 3.0 Flash (124B total / 5.5B active MoE from InclusionAI), further strengthening its language capabilities while adding native visual perception and advanced visual...
Full inclusionAI: Ling 3.0 Flash VL specs →