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Devstral Small 1.1 vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 9.3. Ling 3.0 Flash Fin is 1.7x cheaper per token.

Mistral AI · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.0 to 9.3, ranking #44 overall.

On price, Ling 3.0 Flash Fin is roughly 1.7x 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 Devstral Small 1.1

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

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.0 and ranks #44 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • cost matters — it's about 1.7x 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.

Devstral Small 1.1
Mistral AI
Ling 3.0 Flash Fin
InclusionAI
Core performance indexes
LLM Stats Score
9.3
#269
43.0
#44
Reasoning
9.2
#264
44.2
#35
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$0.06 / M
Output price
$0.30 / M
$0.18 / M
Context window
128,000
262,144

Individual benchmarks

1 reported for Devstral Small 1.1 · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Devstral Small 1.1 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, Devstral Small 1.1 ($0.10/1M tokens) is 1.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.7x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Devstral Small 1.1 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
Sun Sep 20 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
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

100.0B diff

Ling 3.0 Flash Fin has 100.0B more parameters than Devstral Small 1.1, making it 416.7% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
24.0B
Devstral Small 1.1
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 Devstral Small 1.1's 128,000 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Devstral Small 1.1 is limited to 128,000 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Sun Sep 20 2026 • llm-stats.com

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 14 months newer than Devstral Small 1.1.

Devstral Small 1.1

Jul 11, 2025

1.2 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

2 weeks ago

1.1yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Devstral Small 1.1 is available from Mistral AI. Ling 3.0 Flash Fin is available from DeepInfra.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

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 Devstral Small 1.1 and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Devstral Small 1.1 vs Ling 3.0 Flash Fin.

Which is better, Devstral Small 1.1 or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.0 to 9.3. Devstral Small 1.1 is made by Mistral AI 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 Devstral Small 1.1 compare to Ling 3.0 Flash Fin in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. 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 Devstral Small 1.1 cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 1.7x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Devstral Small 1.1 and Ling 3.0 Flash Fin?

Devstral Small 1.1 supports 128K 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 Devstral Small 1.1 and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (9.3 vs 43.0), context window (128K vs 262K), input pricing ($0.10 vs $0.06/M), licensing (Apache 2.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and Ling 3.0 Flash Fin?

Devstral Small 1.1 is developed by Mistral AI and Ling 3.0 Flash Fin is developed by InclusionAI.

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