Gemma 4 31B vs Llama 3.3 70B (Together AI): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Gemma 4 31B (Google) and Llama 3.3 70B (Together AI) (Together AI). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Apr 3, 2026
Interactive Cost Calculator
Fills in typical token counts for a workload type
Tokens in each prompt sent to the model
Tokens generated in each response
Total API calls per month
Showing costs for 2 models. Cheapest: Gemma 4 31B at $3.40/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGemma 4 31B | $3.40 | $0.000340 | $1.40 | $2.00 | 74.2% | Alerts coming soon | |
Llama 3.3 70B (Together AI) | Together AI | $13.20 | $0.001320 | $8.80 | $4.40 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Gemma 4 31B | Llama 3.3 70B (Together AI) | Cheaper |
|---|---|---|---|
| Input (standard) | $0.14/M | $0.88/M | Gemma 4 31B |
| Output | $0.40/M | $0.88/M | Gemma 4 31B |
Prices last verified: 2026-03-06 – 2026-04-03
Cost Breakdown by Usage Volume
Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.
| Volume | Gemma 4 31BMonthly | Llama 3.3 70B (Together AI)Monthly | Gemma 4 31BPer request | Llama 3.3 70B (Together AI)Per request |
|---|---|---|---|---|
| 1K requests/mo | $0.34 | $1.32 | $0.000340 | $0.001320 |
| 10K requests/mo | $3.40 | $13.20 | $0.000340 | $0.001320 |
| 100K requests/mo | $34.00 | $132.00 | $0.000340 | $0.001320 |
| 1M requests/mo | $340.00 | $1,320.00 | $0.000340 | $0.001320 |
Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.
Price History
Input price per 1M tokensWhen to Choose Gemma 4 31B
by Google
- General chatbot
- Code generation
- Document Analysis
Input / 1M tokens
$0.14/M
Output / 1M tokens
$0.40/M
Context window
262,144
Tier
budget
When to Choose Llama 3.3 70B (Together AI)
by Together AI
- General chatbot
- Content & copywriting
- Code generation
Input / 1M tokens
$0.88/M
Output / 1M tokens
$0.88/M
Context window
131,072
Tier
mid
Key Differences Beyond Price
Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.
| Capability | Gemma 4 31B | Llama 3.3 70B (Together AI) |
|---|---|---|
| Context window | 262,144 tokens | 131,072 tokens |
| Max output tokens | 131,072 tokens | 4,096 tokens |
| Performance tier | Budget | Mid |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | Yes | No |
| Fine-tuning | No | No |
Gemma 4 31B notes
Open-weight model (Apache 2.0). Pricing reflects Google AI Studio hosted API.
Llama 3.3 70B (Together AI) notes
Open-source Llama model. Pricing equal for input and output. Meta license applies.
Frequently Asked Questions
Is Gemma 4 31B cheaper than Llama 3.3 70B (Together AI)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemma 4 31B costs $34.00/month versus $132.00/month for Llama 3.3 70B (Together AI) — a 74% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.
Which model has a larger context window, Gemma 4 31B or Llama 3.3 70B (Together AI)?
Gemma 4 31B has a larger context window at 262,144 tokens, compared to 131,072 tokens for Llama 3.3 70B (Together AI). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Gemma 4 31B and Llama 3.3 70B (Together AI) support the Batch API?
Neither Gemma 4 31B nor Llama 3.3 70B (Together AI) currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.
Which model offers better prompt caching?
Neither Gemma 4 31B nor Llama 3.3 70B (Together AI) currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.
What are the best use cases for Gemma 4 31B vs Llama 3.3 70B (Together AI)?
Both models are well-suited for General chatbot, Code generation. Gemma 4 31B is particularly strong for Document Analysis. Llama 3.3 70B (Together AI) is favored for Content & copywriting. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.
What is the cost per request for Gemma 4 31B vs Llama 3.3 70B (Together AI)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemma 4 31B costs $0.000340 per request and Llama 3.3 70B (Together AI) costs $0.001320 per request. At 100,000 requests/month, that translates to $34.00 and $132.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Gemma 4 31B vs Llama 3.3 70B (Together AI): Summary
When comparing Gemma 4 31B and Llama 3.3 70B (Together AI) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemma 4 31B offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $34.00/month, compared to $132.00/month for Llama 3.3 70B (Together AI).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemma 4 31B charges $0.14/M for input tokens and $0.40/M for output tokens. Llama 3.3 70B (Together AI) charges $0.88/M input and $0.88/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.
Context window capacity differs between the two: Gemma 4 31B supports up to 262,144 tokens in a single request, versus 131,072 tokens for Llama 3.3 70B (Together AI). A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.
Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.
Related Comparisons
Explore other model comparisons from the same providers or performance tiers.
Related Provider Pages
View complete pricing tables and model lineups for the providers behind these models.
Relevant Use Cases
See cost recommendations for workloads where Gemma 4 31B or Llama 3.3 70B (Together AI) is recommended.