Olmo 3 32B Think vs DeepSeek V3.2
At a Glance
| Compare |  DeepSeek V3.2DeepSeek | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15Openrouter ↗ · Aug 28, 2026 | $0.26Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Aug 28, 2026 | $0.38Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 66K | 164K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Olmo-3-32B-Think | DeepSeek-V3.2 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,299.7191% of row best · rating · olmo-3-32b-think; 95% CI [1291.40753288, 1308.02044894]; votes 5682; rank 234 | 1,424.80100% of row best · rating · deepseek-v3.2; 95% CI [1421.27271719, 1428.32733406]; votes 46458; rank 96 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Olmo-3-32B-Think | DeepSeek-V3.2 |
|---|---|---|
| Developer | Ai2 | DeepSeek |
| Family | Olmo 3 32b Think | Deepseek V3 2 |
| Model | Olmo-3-32B-Think | DeepSeek-V3.2 |
| Version | Olmo-3-32B-Think | DeepSeek-V3.2 |
| Lifecycle | active | active |
| Released | Unknown | 2025-12-01 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 66K | 164K |
| Total parameters | 32.2B | 685.4B |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning |
Olmo 3 32B Think Capabilities
DeepSeek V3.2 Capabilities
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| vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext | |
| vs | DeepSeek-V4.1-FlashDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peerstext | |
| vs |  Qwen3.8-MaxQwen | cross-developer peerstext | |
| vs |  Kimi-K3Moonshot AI | cross-developer peerstext | |
 MiniMax-M3MiniMax | vs | cross-developer peerstext | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peerstext | |
| vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Olmo 3 32B Think vs DeepSeek V3.2 FAQs
Is Olmo 3 32B Think or DeepSeek V3.2 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and DeepSeek V3.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Olmo 3 32B Think or DeepSeek V3.2?+
Olmo 3 32B Think is $0.15 and DeepSeek V3.2 is $0.26 per million tokens, so Olmo 3 32B Think is cheaper on this metric. Olmo 3 32B Think is $0.50 and DeepSeek V3.2 is $0.38 per million tokens, so DeepSeek V3.2 is cheaper on this metric.
Which has a larger context window, Olmo 3 32B Think or DeepSeek V3.2?+
DeepSeek V3.2 has the larger sourced context window. Olmo 3 32B Think supports 66K and DeepSeek V3.2 supports 164K.
Which performs better in benchmarks, Olmo 3 32B Think or DeepSeek V3.2?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Olmo 3 32B Think or DeepSeek V3.2 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Olmo 3 32B Think is open weight; DeepSeek V3.2 is open weight.
Can Olmo 3 32B Think and DeepSeek V3.2 understand images?+
Olmo 3 32B Think is not documented with image input; DeepSeek V3.2 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Olmo 3 32B Think or DeepSeek V3.2?+
Neither has a larger sourced maximum output. Olmo 3 32B Think is 33K and DeepSeek V3.2 is —.
Do Olmo 3 32B Think and DeepSeek V3.2 support reasoning and tool use?+
Olmo 3 32B Think: reasoning. DeepSeek V3.2: reasoning. Feature support does not establish relative quality.
Which is available from more inference providers, Olmo 3 32B Think or DeepSeek V3.2?+
Olmo 3 32B Think has 1 sourced provider route; DeepSeek V3.2 has 3, so DeepSeek V3.2 has broader tracked availability.
Which offers better value, Olmo 3 32B Think or DeepSeek V3.2?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.