A well-priced, long-context open-weight model that's ideal for high-volume developer workloads but won't match frontier models on complex reasoning.
74
Coding
68
Writing
72
Research
0
Images
88
Value
82
Long Context
Use this when
Cost-conscious developers needing a capable open-weight model for coding assistance, summarization, and document analysis at scale.
Strengths
Extremely competitive pricing — $0.14 input makes it cheaper than Claude Haiku and Gemini Flash for most workloads
262K context window rivals much more expensive models like GPT-4o and Claude Sonnet 4.6
Open-weight architecture allows self-hosting for privacy-sensitive or latency-critical deployments
Solid instruction-following and code generation for its size class
Weaknesses
At 31B parameters, complex multi-step reasoning lags behind frontier models like Gemini 2.5 Pro or GPT-5.4
Monthly cost estimate
See what Gemma 4 31B actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.140
Output cost
$0.200
Total / month
$0.340
Based on Gemma 4 31B API pricing: $0.14/1M input · $0.39999999999999997/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
Gemma 4 31B pricing over time
→0% since Apr 4
26 data points · tracked daily since Apr 4, 2026
Ready to try it?
Start using Gemma 4 31B
Cost-conscious developers needing a capable open-weight model for coding assistance, summarization, and document analysis at scale.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
GoogleBudget
Gemma 4 26B A4B
Gemma 4 26B A4B is a sparse mixture-of-experts open model from Google, activating only ~4B parameters per forward pass despite having 26B total parameters. It offers a 262K context window at budget pricing, making it one of the more capable open-weight models for its cost tier.
Verdict
A lean, fast, and surprisingly capable budget model best suited for high-volume text tasks where cost efficiency trumps peak quality.
Quality score
59%
Pricing
$0.13/1M in
$0.40/1M out
Speed
Change history
Pricing moves, ranking shifts, and capability updates.
New ModelApr 3, 2026
Gemma 4 31B — added to UseRightAI
Gemma 4 31B (Google) is now indexed. It supersedes Google: Gemini 3 Flash Preview. A well-priced, long-context open-weight model that's ideal for high-volume developer workloads but won't match frontier models on complex reasoning.
Gemma 4 31B is best for cost-conscious developers needing a capable open-weight model for coding assistance, summarization, and document analysis at scale.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and fast speed.
When should I avoid Gemma 4 31B?
You need advanced multimodal input processing, cutting-edge reasoning chains, or the highest-quality creative writing outputs — spend up for Gemini 2.5 Pro or Claude Sonnet 4.6 instead.
What is a cheaper alternative to Gemma 4 31B?
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
What is a faster alternative to Gemma 4 31B?
Anthropic: Claude 3.5 Haiku is the better pick when response time matters more than maximum depth or premium quality.
Newsletter
Get notified when Gemma 4 31B pricing changes
We track pricing daily. When this model drops or spikes, you'll know first.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Skip this if
You need advanced multimodal input processing, cutting-edge reasoning chains, or the highest-quality creative writing outputs — spend up for Gemini 2.5 Pro or Claude Sonnet 4.6 instead.
No native multimodal (image/audio) input support limits use cases compared to Gemini Flash
Occasional factual hallucinations on niche knowledge domains typical of sub-70B models
Fast
Best for cost-sensitive applications needing long-context processing with reasonable quality, such as document summarization pipelines or lightweight coding assistants.
Context
262k tokens
As an open-weight model, Gemma 4 26B can also be self-hosted, making API pricing largely irrelevant at scale. The 'A4B' suffix denotes the active parameter count in its MoE configuration. Listed as superseding Gemini 3 Flash Preview, though Gemini 2.0 Flash remains a stronger hosted alternative.
Open-weightBudgetMoELong ContextGoogle
Best for
Cost-sensitive applications needing long-context processing with reasonable quality, such as document summarization pipelines or lightweight coding assistants.
Claude 3.5 Haiku is Anthropic's fastest and most affordable model in the Claude 3.5 family, designed for high-throughput tasks requiring quick responses without sacrificing Claude's core instruction-following quality. It handles a massive 200K context window while maintaining speed suitable for production pipelines.
Verdict
The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.
Quality score
64%
Pricing
$0.80/1M in
$4.00/1M out
Speed
Very fast
Best for high-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
Context
200k tokens
Output cost of $4/1M is notably higher than competing fast/mini models. Input cost at ~$0.80/1M is competitive. Best value emerges in input-heavy pipelines like document classification or RAG retrieval where output tokens are minimal.
High-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
Gemini 2.0 Flash is Google's high-speed, cost-efficient multimodal model built for high-volume production workloads, offering a massive 1M token context window at near-throwaway pricing. It supports text, image, audio, and video inputs with strong instruction-following and tool-use capabilities.
Verdict
The best bang-for-buck multimodal workhorse for developers who need speed, scale, and a massive context window.
Quality score
76%
Pricing
$0.10/1M in
$0.40/1M out
Speed
Very fast
Best for high-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
Context
1.0M tokens
Pricing listed is for standard (non-cached) input/output. Context caching is available and can reduce costs significantly for repeated long-context calls. Image and audio inputs are priced separately. Free tier available via Google AI Studio.
BudgetFastLong ContextMultimodalGoogle
Best for
High-throughput pipelines and agentic tasks where speed and cost matter more than peak reasoning quality.
