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Sep 20, 2026
3 min read
Ollama - Updated Cost-Effective Models

Ollama - Updated Cost-Effective Models

Exploring new cost-effective models for AI and machine learning workloads.

Cost‑Effective Ollama Cloud Models (2026)

Ollama Cloud provides access to a curated catalog of open‑source LLMs. Below is a quick‑reference table of models that deliver the best performance per dollar.

Cost Ranking (1M input + 1M output tokens)

Rank Model Input ($) Output ($) Combined ($)
1 Nemotron 3 Nano 0.06 0.24 0.30
2 GPT-OSS 20B 0.07 0.30 0.37
3 Gemma 4 0.14 0.40 0.54
4 Nemotron 3 Super 0.015 0.60 0.615
5 GLM-5.3 Flash 0.15 0.50 0.65
6 DeepSeek V4.1 Flash 0.15 0.60 0.75
7 GPT-OSS 120B 0.15 0.60 0.75
8 DeepSeek V4 Flash 0.22 0.66 0.88
9 MiniMax M2.7 0.30 1.20 1.50
10 Mistral Large 3 0.50 1.50 2.00
11 DeepSeek V4 Pro 0.66 1.98 2.64
12 MiniMax M3 0.60 2.40 3.00
13 Nemotron 3 Ultra 0.10 3.00 3.10
14 GLM-5.1 1.00 3.20 4.20
15 Qwen 3.5 397B 0.60 3.60 4.20
16 Kimi K2.6 0.95 4.00 4.95
17 Kimi K2.7 Code 0.95 4.00 4.95
18 GLM-5.2 1.40 4.40 5.80
19 GLM-5.3 1.40 4.40 5.80
20 Kimi K3 3.00 15.00 18.00

Parameter‑Size Ranking

Model Total Parameters
Nemotron 3 Nano 4B / 30B variants
Gemma 4 2B–31B variants
GPT-OSS 20B 20B
Nemotron 3 Super 120B
GPT-OSS 120B 120B
MiniMax M2.7 ~229B
DeepSeek V4 Flash 304B
GLM-5.3 Flash 321B
Qwen 3.5 397B
MiniMax M3 ~428B
Nemotron 3 Ultra 550B
Mistral Large 3 675B
GLM-5.3 753B
GLM-5.2 756B
DeepSeek V4.1 Flash 763B
Kimi K2.6 1.04T
Kimi K2.7 Code 1.04T
DeepSeek V4 Pro 1.65T
Kimi K3 2.81T

These rankings help you pick a model that balances cost, parameter size, and performance for your workload.