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Hermes 3 70B vs Ling 3.0 Flash Fin

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 4.1. Ling 3.0 Flash Fin is 7.8x cheaper per token.

Nous Research · InclusionAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 4.1, ranking #39 overall.

On price, Ling 3.0 Flash Fin is roughly 7.8x 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 Hermes 3 70B

  • 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 7.8x 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.

Core performance indexes
4.1
#302
43.3
#39
1.4
#311
44.7
#32
Cost, coverage & limits
Benchmark wins
Input price
$0.70 / M
$0.06 / M
Output price
$0.70 / M
$0.18 / M
Context window
131,072
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Hermes 3 70B
Ling 3.0 Flash Fin
3.2#179
36.7#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for Hermes 3 70B · 6 for Ling 3.0 Flash Fin

No common benchmarks found

Hermes 3 70B 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, Hermes 3 70B ($0.70/1M tokens) is 11.7x more expensive than Ling 3.0 Flash Fin ($0.06/1M tokens).

For output processing, Hermes 3 70B ($0.70/1M tokens) is 3.9x more expensive than Ling 3.0 Flash Fin ($0.18/1M tokens).

In conclusion, Hermes 3 70B 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
Tue Sep 08 2026 • llm-stats.com
Nous Research
Hermes 3 70B
Input tokens$0.70
Output tokens$0.70
Best providerDeepinfra
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

54.0B diff

Ling 3.0 Flash Fin has 54.0B more parameters than Hermes 3 70B, making it 77.1% larger.

Nous Research
Hermes 3 70B
70.0Bparameters
InclusionAI
Ling 3.0 Flash Fin
124.0Bparameters
70.0B
Hermes 3 70B
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 Hermes 3 70B's 131,072 tokens. Ling 3.0 Flash Fin can generate longer responses up to 262,144 tokens, while Hermes 3 70B is limited to 131,072 tokens.

Nous Research
Hermes 3 70B
Input131,072 tokens
Output131,072 tokens
InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
Tue Sep 08 2026 • llm-stats.com

Release Timeline

When each model was launched

Hermes 3 70B was released on 2024-08-15, while Ling 3.0 Flash Fin was released on 2026-09-03.

Ling 3.0 Flash Fin is 25 months newer than Hermes 3 70B.

Hermes 3 70B

Aug 15, 2024

2.1 years ago

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

2.1yr 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

Hermes 3 70B is available from DeepInfra. Ling 3.0 Flash Fin is available from DeepInfra.

Hermes 3 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $0.70/1M

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 Hermes 3 70B and Ling 3.0 Flash Fin side-by-side, then vote on the output you prefer.

Hermes 3 70B
✓ Preferred
Ling 3.0 Flash Fin
Open in Playground

FAQ

Common questions about Hermes 3 70B vs Ling 3.0 Flash Fin.

Which is better, Hermes 3 70B or Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 4.1. Hermes 3 70B is made by Nous Research 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 Hermes 3 70B compare to Ling 3.0 Flash Fin in benchmarks?

Hermes 3 70B scores MT-Bench: 89.9%, HellaSwag: 88.2%, BoolQ: 88.0%, PIQA: 84.4%, Winogrande: 83.2%. 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 Hermes 3 70B cheaper than Ling 3.0 Flash Fin?

Ling 3.0 Flash Fin is 11.7x cheaper for input tokens. Hermes 3 70B costs $0.70/M input and $0.70/M output via deepinfra. Ling 3.0 Flash Fin costs $0.06/M input and $0.18/M output via deepinfra.

What are the context window sizes for Hermes 3 70B and Ling 3.0 Flash Fin?

Hermes 3 70B supports 131K 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 Hermes 3 70B and Ling 3.0 Flash Fin?

Key differences include LLM Stats Score (4.1 vs 43.3), context window (131K vs 262K), input pricing ($0.70 vs $0.06/M), licensing (Apache 2.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Hermes 3 70B and Ling 3.0 Flash Fin?

Hermes 3 70B is developed by Nous Research and Ling 3.0 Flash Fin is developed by InclusionAI.