Olmo 3.1 32B Think vs OpenChat 3.5 (1210): The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the Olmo 3.1 32B Think vs OpenChat 3.5 (1210) Showdown
Model Snapshot
Key decision metrics at a glance.
- Reasoning
- 8
- Coding
- 1
- Multimodal
- 1
- Long Context
- 2
- Blended Price / 1M tokens
- $0.015
- P95 Latency
- 1000ms
- Tokens per second
- 94.166tokens/sec
- Reasoning
- 6
- Coding
- 6
- Multimodal
- 1
- Long Context
- 1
- Blended Price / 1M tokens
- $0.015
- P95 Latency
- 1000ms
- Tokens per second
- —
Overall Capabilities
The capability radar provides a holistic view of the Olmo 3.1 32B Think vs OpenChat 3.5 (1210) matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Olmo 3.1 32B Think vs OpenChat 3.5 (1210) analysis.
Benchmark Breakdown
For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the Olmo 3.1 32B Think vs OpenChat 3.5 (1210) debate, Olmo 3.1 32B Think scores 80 against OpenChat 3.5 (1210)'s 60. This data-driven approach is essential for any serious Olmo 3.1 32B Think vs OpenChat 3.5 (1210) comparison.
Speed & Latency
Speed is a crucial factor in the Olmo 3.1 32B Think vs OpenChat 3.5 (1210) decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.
The Economics of Olmo 3.1 32B Think vs OpenChat 3.5 (1210)
Power is only one part of the equation. This Olmo 3.1 32B Think vs OpenChat 3.5 (1210) pricing analysis gives you a true sense of value.
Real-World Cost Scenario
Olmo 3.1 32B Think would cost $0.018, whereas OpenChat 3.5 (1210) would cost $0.018. This practical calculation is vital for any developer considering the Olmo 3.1 32B Think vs OpenChat 3.5 (1210) choice.Which Model Wins the Olmo 3.1 32B Think vs OpenChat 3.5 (1210) Battle for You?
Your Questions about the Olmo 3.1 32B Think vs OpenChat 3.5 (1210) Comparison
Data source: https://artificialanalysis.ai/
