Olmo 3 32B Think vs DeepSeek V4 Pro 0813
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #20 of 4665.0 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #20 of 44$0.094 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #14 of 3857.4 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15Openrouter ↗ · Aug 28, 2026 | $1.30Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Aug 28, 2026 | $2.60Deepinfra ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 66K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 3, 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-V4-Pro-0813 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,299.7190% of row best · rating · olmo-3-32b-think; 95% CI [1291.40753288, 1308.02044894]; votes 5682; rank 234 | 1,443.95100% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58 |
| 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-V4-Pro-0813 |
|---|---|---|
| Developer | Ai2 | DeepSeek |
| Family | Olmo 3 32b Think | Deepseek V4 Pro |
| Model | Olmo-3-32B-Think | DeepSeek-V4-Pro-0813 |
| Version | Olmo-3-32B-Think | DeepSeek-V4-Pro-0813 |
| Lifecycle | active | active |
| Released | Unknown | 2026-08-13 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text |
| Output modalities | Text | Text |
| Context window | 66K | 1,049K |
| Total parameters | 32.2B | 1.6T |
| Active parameters | Unknown | 49B |
| License | apache-2.0 | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, coding, generation, reasoning, tools |
Olmo 3 32B Think Capabilities
DeepSeek V4 Pro 0813 Capabilities
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| 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 V4 Pro 0813 FAQs
Is Olmo 3 32B Think or DeepSeek V4 Pro 0813 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and DeepSeek V4 Pro 0813, 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 V4 Pro 0813?+
Olmo 3 32B Think is $0.15 and DeepSeek V4 Pro 0813 is $1.30 per million tokens, so Olmo 3 32B Think is cheaper on this metric. Olmo 3 32B Think is $0.50 and DeepSeek V4 Pro 0813 is $2.60 per million tokens, so Olmo 3 32B Think is cheaper on this metric.
Which has a larger context window, Olmo 3 32B Think or DeepSeek V4 Pro 0813?+
DeepSeek V4 Pro 0813 has the larger sourced context window. Olmo 3 32B Think supports 66K and DeepSeek V4 Pro 0813 supports 1,049K.
Which performs better in benchmarks, Olmo 3 32B Think or DeepSeek V4 Pro 0813?+
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 V4 Pro 0813 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Olmo 3 32B Think is open weight; DeepSeek V4 Pro 0813 is open weight.
Can Olmo 3 32B Think and DeepSeek V4 Pro 0813 understand images?+
Olmo 3 32B Think is not documented with image input; DeepSeek V4 Pro 0813 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 V4 Pro 0813?+
Neither has a larger sourced maximum output. Olmo 3 32B Think is 33K and DeepSeek V4 Pro 0813 is —.
Do Olmo 3 32B Think and DeepSeek V4 Pro 0813 support reasoning and tool use?+
Olmo 3 32B Think: reasoning. DeepSeek V4 Pro 0813: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Olmo 3 32B Think or DeepSeek V4 Pro 0813?+
Olmo 3 32B Think has 1 sourced provider route; DeepSeek V4 Pro 0813 has 3, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, Olmo 3 32B Think or DeepSeek V4 Pro 0813?+
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.