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Jamba 1.5 Mini vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -5.6. Ling 3.0 Flash Fin is 2.8x cheaper per token.

AI21 Labs · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to -5.6, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Ling 3.0 Flash Fin also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Jamba 1.5 Mini

  • you need open weights you can self-host or fine-tune

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 2.8x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Jamba 1.5 Mini
AI21 Labs
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
-5.6
#357
43.3
#39
Reasoning
-5.5
#348
44.7
#32
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.20 / M
$0.06 / M
Output price
$0.40 / M
$0.18 / M
Context window
256,144
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Jamba 1.5 Mini
Ling 3.0 Flash Fin
Finance
-3.9#208
36.7#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Jamba 1.5 Mini · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Jamba 1.5 Mini and Ling 3.0 Flash Findon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ling 3.0 Flash Fin costs less

For input processing, Jamba 1.5 Mini ($0.20/1M tokens) is 3.3x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, Jamba 1.5 Mini ($0.40/1M tokens) is 2.2x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Jamba 1.5 Mini is more expensive than Ling 3.0 Flash Fin.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
AI21 Labs
Jamba 1.5 Mini
Input tokens$0.20
Output tokens$0.40
Best providerAWS Bedrock
InclusionAI
Ling 3.0 Flash Fin
Input tokens$0.06
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

72.0B diff

Ling 3.0 Flash Fin has 72.0B more parameters than Jamba 1.5 Mini, making it 138.5% larger.

AI21 Labs
Jamba 1.5 Mini
52.0Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
52.0B
Jamba 1.5 Mini
124.0B
Ling 3.0 Flash Fin

Context Window

Maximum input and output token capacity

Ling 3.0 Flash Fin accepts 262,144 input tokens compared to Jamba 1.5 Mini's 256,144 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Jamba 1.5 Mini is limited to 256,144 tokens.

AI21 Labs
Jamba 1.5 Mini
Input256,144 tokens
Output256,144 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Thu Sep 10 2026 • llm-stats.com

Release Timeline

When each model was launched

Jamba 1.5 Mini was released on 2024-08-22, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 25 months newer than Jamba 1.5 Mini.

Jamba 1.5 Mini

Aug 22, 2024

2.0 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

6 days ago

2.0yr newer

Knowledge Cutoff

When training data ends

Jamba 1.5 Mini has a documented knowledge cutoff of 2024-03-05, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm Jamba 1.5 Mini's training data extends to 2024-03-05, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Jamba 1.5 Mini

Mar 2024

Ling 3.0 Flash Fin

—

Provider Availability

Jamba 1.5 Mini is available from Bedrock, Google. Ling 3.0 Flash Fin is available from DeepInfra.

Jamba 1.5 Mini

bedrock logo
AWS Bedrock
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M
google logo
Google
Input Price:Input: $0.20/1MOutput Price:Output: $0.40/1M

Ling 3.0 Flash Fin

deepinfra logo
Deepinfra
Input Price:Input: $0.06/1MOutput Price:Output: $0.18/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Jamba 1.5 Mini and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Jamba 1.5 Mini
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Jamba 1.5 Mini vs Ling 3.0 Flash Fin.

Which is better, Jamba 1.5 Mini or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to -5.6. Jamba 1.5 Mini is made by AI21 Labs and Ling 3.0 Flash Fin is made by InclusionAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Jamba 1.5 Mini compare to Ling 3.0 Flash Fin in benchmarks?

Jamba 1.5 Mini scores ARC-C: 85.7%, GSM8k: 75.8%, MMLU: 69.7%, TruthfulQA: 54.1%, Arena Hard: 46.1%. Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%.

Is Jamba 1.5 Mini cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 3.3x cheaper for input tokens. Jamba 1.5 Mini costs $0.20/M input and $0.40/M output via bedrock. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Jamba 1.5 Mini and Ling 3.0 Flash Fin?

Jamba 1.5 Mini supports 256K tokens and Ling 3.0 Flash Fin supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Jamba 1.5 Mini and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (-5.6 vs 43.3), context window (256K vs 262K), input pricing ($0.20 vs $0.06/M), licensing (Jamba Open Model License vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Jamba 1.5 Mini and Ling 3.0 Flash Fin?

Jamba 1.5 Mini is developed by AI21 Labs and Ling 3.0 Flash Fin is developed by InclusionAI.

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