Olmo 3 32B Think vs Gemini 3.7 Flash
At a Glance
| Compare |  Gemini 3.7 FlashGoogle DeepMind | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #4 of 4687.7 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #17 of 44$0.085 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #2 of 3869.9 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15Openrouter ↗ · Aug 28, 2026 | $0.75Google AI ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $0.50Openrouter ↗ · Aug 28, 2026 | $3.75Google AI ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 66K | 1,049K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 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 | Gemini 3.7 Flash |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,299.7187% of row best · rating · olmo-3-32b-think; 95% CI [1291.40753288, 1308.02044894]; votes 5682; rank 234 | 1,490.49100% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.31296820, 1498.67106273]; votes 5640; rank 8 |
| 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 | Gemini 3.7 Flash |
|---|---|---|
| Developer | Ai2 | Google DeepMind |
| Family | Olmo 3 32b Think | Gemini 3 |
| Model | Olmo-3-32B-Think | Gemini 3.7 Flash |
| Version | Olmo-3-32B-Think | Gemini 3.7 Flash |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Audio, Document |
| Output modalities | Text | Text |
| Context window | 66K | 1,049K |
| Total parameters | 32.2B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Openrouter (Standard) | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
Olmo 3 32B Think Capabilities
Gemini 3.7 Flash Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peerstext | |
| vs | Claude Fable 5.1Anthropic | cross-developer peerstext | |
| 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 Gemini 3.7 Flash FAQs
Is Olmo 3 32B Think or Gemini 3.7 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and Gemini 3.7 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Olmo 3 32B Think or Gemini 3.7 Flash?+
Olmo 3 32B Think is $0.15 and Gemini 3.7 Flash is $0.75 per million tokens, so Olmo 3 32B Think is cheaper on this metric. Olmo 3 32B Think is $0.50 and Gemini 3.7 Flash is $3.75 per million tokens, so Olmo 3 32B Think is cheaper on this metric.
Which has a larger context window, Olmo 3 32B Think or Gemini 3.7 Flash?+
Gemini 3.7 Flash has the larger sourced context window. Olmo 3 32B Think supports 66K and Gemini 3.7 Flash supports 1,049K.
Which performs better in benchmarks, Olmo 3 32B Think or Gemini 3.7 Flash?+
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 Gemini 3.7 Flash be self-hosted?+
Olmo 3 32B Think is the only model in this pair currently marked as self-hostable. Olmo 3 32B Think is open weight; Gemini 3.7 Flash is not marked open weight.
Can Olmo 3 32B Think and Gemini 3.7 Flash understand images?+
Olmo 3 32B Think is not documented with image input; Gemini 3.7 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Olmo 3 32B Think or Gemini 3.7 Flash?+
Gemini 3.7 Flash has the larger sourced maximum output: Olmo 3 32B Think supports 33K and Gemini 3.7 Flash supports 66K output tokens.
Do Olmo 3 32B Think and Gemini 3.7 Flash support reasoning and tool use?+
Olmo 3 32B Think: reasoning. Gemini 3.7 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Olmo 3 32B Think or Gemini 3.7 Flash?+
Olmo 3 32B Think has 1 sourced provider route; Gemini 3.7 Flash has 2, so Gemini 3.7 Flash has broader tracked availability.
Which offers better value, Olmo 3 32B Think or Gemini 3.7 Flash?+
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.