API cost decision in 10 seconds

Gemma 4 31B (free) vs Olmo 3 32B Think

Pick Gemma 4 31B (free) when budget and context both matter.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Gemma 4 31B (free) when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).

Cost-first pickGemma 4 31B (free)

Context-first pickGemma 4 31B (free)

Sample savings$0.4100%

10x traffic gap$4

Gemma 4 31B (free) is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $4. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Gemma 4 31B (free) stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Gemma 4 31B (free)	Olmo 3 32B Think
Input-heavy / RAG	5M input + 500K output	Gemma 4 31B (free)	$0	$1
Balanced workload	1M input + 1M output	Gemma 4 31B (free)	$0	$0.65
Output-heavy chatbot	1M input + 5M output	Gemma 4 31B (free)	$0	$2.65

Cheaper input Gemma 4 31B (free) $0 vs $0.15 / 1M

Gemma 4 31B (free) is free for input tokens while Olmo 3 32B Think costs $0.15 per 1M tokens.

Cheaper output Gemma 4 31B (free) $0 vs $0.5 / 1M

Gemma 4 31B (free) is free for output tokens while Olmo 3 32B Think costs $0.5 per 1M tokens.

Larger context Gemma 4 31B (free) 262.14K vs 65.54K

Gemma 4 31B (free) has 196.61K more context (4x larger).

Sample workload Gemma 4 31B (free) $0 vs $0.4

Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $0.4.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Gemma 4 31B (free) Calculating… Estimated API cost

Olmo 3 32B Think Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Gemma 4 31B (free) has the lower input price; Gemma 4 31B (free) has the lower output price; Gemma 4 31B (free) offers the larger context window. For the 1M input plus 500K output sample, Gemma 4 31B (free) is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for Gemma 4 31B (free) and $0.4 for Olmo 3 32B Think.

Best Fit

Choose Gemma 4 31B (free) when you care most about lower input-token price, lower output-token price, and larger context window.

Choose Olmo 3 32B Think when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Decision Notes

On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).
Gemma 4 31B (free) is free for the standard workload while the other model is estimated at $0.4.
Gemma 4 31B (free) is free for input tokens while Olmo 3 32B Think costs $0.15 per 1M tokens.
Gemma 4 31B (free) is free for output tokens while Olmo 3 32B Think costs $0.5 per 1M tokens.
Gemma 4 31B (free) has 196.61K more context (4x larger).

Head-to-Head Specs

Feature	Gemma 4 31B (free) (Google)	Olmo 3 32B Think (AllenAI)
Input Price prompt tokens per 1M	$0	$0.15
Completion Price per 1M tokens	$0	$0.5
Sample Workload Cost 1M input + 500K output	$0	$0.4
Context Window	262.14K	65.54K
Release Date	2026-04-02	2025-11-21

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Gemma 4 31B (free)	On the standard 1M input plus 500K output workload, Gemma 4 31B (free) is estimated at $0 vs $0.4 for Olmo 3 32B Think, saving $0.4 (100% lower).
High-volume input processing	Gemma 4 31B (free)	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Gemma 4 31B (free)	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Gemma 4 31B (free)	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

Open cheapest models

Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

Open largest context models

Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

Google catalog

Review all tracked Google models before deciding whether this matchup is the right shortlist.

Open Google models

AllenAI catalog

Check other AllenAI models with comparable pricing, context, or release timing.

Open AllenAI models

Gemma 4 31B (free)

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

Olmo 3 32B Think

Olmo 3 32B Think is a large-scale, 32-billion-parameter model purpose-built for deep reasoning, complex logic chains and advanced instruction-following scenarios. Its capacity enables strong performance on demanding evaluation tasks and...