Olmo 3 7B Think vs Gemini 3.1 Pro
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Olmo-3-7B-Think | Gemini 3.1 Pro |
|---|---|---|
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #22 of 36$0.161 per LiveBench case |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | Olmo-3-7B-Think | Gemini 3.1 Pro |
|---|---|---|
| Developer | Ai2 | Google DeepMind |
| Family | Olmo 3 7b Think | Gemini 3 |
| Model | Olmo-3-7B-Think | Gemini 3.1 Pro |
| Version | Olmo-3-7B-Think | Gemini 3.1 Pro |
| Lifecycle | active | preview |
| 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 | 7.3B | Unknown |
| Active parameters | Unknown | Unknown |
| License | apache-2.0 | Unknown |
| Open weights | Yes | No |
| API available | Unknown | Yes |
| Self-hostable | Yes | No |
| Provider access | Unknown | Google AI (Standard), Google Gemini (Standard) |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
11 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Olmo 3 7B Think Capabilities
Gemini 3.1 Pro Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Olmo 3 7B Think vs Gemini 3.1 Pro FAQs
Is Olmo 3 7B Think or Gemini 3.1 Pro better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 7B Think and Gemini 3.1 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Olmo 3 7B Think or Gemini 3.1 Pro?+
Only Gemini 3.1 Pro has a directly sourced input price: $2.00 per million tokens. Only Gemini 3.1 Pro has a directly sourced output price: $12.00 per million tokens.
Which has a larger context window, Olmo 3 7B Think or Gemini 3.1 Pro?+
Gemini 3.1 Pro has the larger sourced context window. Olmo 3 7B Think supports 66K and Gemini 3.1 Pro supports 1,049K.
Which performs better in benchmarks, Olmo 3 7B Think or Gemini 3.1 Pro?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Olmo 3 7B Think or Gemini 3.1 Pro be self-hosted?+
Olmo 3 7B Think is the only model in this pair currently marked as self-hostable. Olmo 3 7B Think is open weight; Gemini 3.1 Pro is not marked open weight.
Can Olmo 3 7B Think and Gemini 3.1 Pro understand images?+
Olmo 3 7B Think is not documented with image input; Gemini 3.1 Pro is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Olmo 3 7B Think or Gemini 3.1 Pro?+
Gemini 3.1 Pro has the larger sourced maximum output: Olmo 3 7B Think supports 33K and Gemini 3.1 Pro supports 66K output tokens.
Do Olmo 3 7B Think and Gemini 3.1 Pro support reasoning and tool use?+
Olmo 3 7B Think: reasoning. Gemini 3.1 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Olmo 3 7B Think or Gemini 3.1 Pro?+
Olmo 3 7B Think has 0 sourced provider routes; Gemini 3.1 Pro has 2, so Gemini 3.1 Pro has broader tracked availability.
Which offers better value, Olmo 3 7B Think or Gemini 3.1 Pro?+
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.