Gemini 3.1 Pro vs GPT-OSS 120B (SambaNova): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for Gemini 3.1 Pro (Google) and GPT-OSS 120B (SambaNova) (SambaNova). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.
Prices verified Mar 11, 2026
Interactive Cost Calculator
Fills in typical token counts for a workload type
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Showing costs for 2 models. Cheapest: GPT-OSS 120B (SambaNova) at $5.15/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGPT-OSS 120B (SambaNova) | SambaNova | $5.15 | $0.000515 | $2.20 | $2.95 | 93.6% | Alerts coming soon |
Gemini 3.1 Pro | $80.00 | $0.008000 | $20.00 | $60.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | Gemini 3.1 Pro | GPT-OSS 120B (SambaNova) | Cheaper |
|---|---|---|---|
| Input (standard) | $2.00/M | $0.22/M | GPT-OSS 120B (SambaNova) |
| Output | $12.00/M | $0.59/M | GPT-OSS 120B (SambaNova) |
| Cached input | $0.20/M | N/A | — |
| Batch input | $1.00/M | N/A | — |
| Batch output | $6.00/M | N/A | — |
Prices last verified: 2026-03-08 – 2026-03-11
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 | Gemini 3.1 ProMonthly | GPT-OSS 120B (SambaNova)Monthly | Gemini 3.1 ProPer request | GPT-OSS 120B (SambaNova)Per request |
|---|---|---|---|---|
| 1K requests/mo | $8.00 | $0.52 | $0.008000 | $0.000515 |
| 10K requests/mo | $80.00 | $5.15 | $0.008000 | $0.000515 |
| 100K requests/mo | $800.00 | $51.50 | $0.008000 | $0.000515 |
| 1M requests/mo | $8,000.00 | $515.00 | $0.008000 | $0.000515 |
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 Gemini 3.1 Pro
by Google
- Document summarization
- RAG / Semantic search
- Code generation
Input / 1M tokens
$2.00/M
Output / 1M tokens
$12.00/M
Context window
2,097,152
Tier
premium
When to Choose GPT-OSS 120B (SambaNova)
by SambaNova
- General chatbot
- Content Creation
- Summarization
Input / 1M tokens
$0.22/M
Output / 1M tokens
$0.59/M
Context window
128,000
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 | Gemini 3.1 Pro | GPT-OSS 120B (SambaNova) |
|---|---|---|
| Context window | 2,097,152 tokens | 128,000 tokens |
| Max output tokens | 65,536 tokens | 8,192 tokens |
| Performance tier | Premium | Mid |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | Yes | No |
| Batch API (50% discount) | Yes | No |
| Extended reasoning | Yes | No |
| Fine-tuning | No | No |
| Rate limit (req/min) | 1,000 | Not published |
Gemini 3.1 Pro notes
Preview model. Tiered pricing: prompts over 200K tokens billed at $4.00 input / $18.00 output.
GPT-OSS 120B (SambaNova) notes
GPT-OSS 120B on SambaNova Cloud. Open-source GPT variant delivering strong instruction-following at competitive mid-tier pricing.
Frequently Asked Questions
Is Gemini 3.1 Pro cheaper than GPT-OSS 120B (SambaNova)?
At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT-OSS 120B (SambaNova) costs $51.50/month versus $800.00/month for Gemini 3.1 Pro — a 94% 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, Gemini 3.1 Pro or GPT-OSS 120B (SambaNova)?
Gemini 3.1 Pro has a larger context window at 2,097,152 tokens, compared to 128,000 tokens for GPT-OSS 120B (SambaNova). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.
Do Gemini 3.1 Pro and GPT-OSS 120B (SambaNova) support the Batch API?
Gemini 3.1 Pro supports the Batch API (50% discount for async processing), while GPT-OSS 120B (SambaNova) does not. If your workload tolerates up to 24-hour latency, routing to Gemini 3.1 Pro with batch pricing could significantly cut costs versus GPT-OSS 120B (SambaNova)'s standard rate.
Which model offers better prompt caching?
Gemini 3.1 Pro supports prompt caching at $0.20/M for cached input, while GPT-OSS 120B (SambaNova) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Gemini 3.1 Pro's caching capability can substantially reduce effective costs.
What are the best use cases for Gemini 3.1 Pro vs GPT-OSS 120B (SambaNova)?
Gemini 3.1 Pro is best suited for Document summarization, RAG / Semantic search, Code generation, while GPT-OSS 120B (SambaNova) is optimized for General chatbot, Content Creation, Summarization. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.
What is the cost per request for Gemini 3.1 Pro vs GPT-OSS 120B (SambaNova)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 3.1 Pro costs $0.008000 per request and GPT-OSS 120B (SambaNova) costs $0.000515 per request. At 100,000 requests/month, that translates to $800.00 and $51.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
Gemini 3.1 Pro vs GPT-OSS 120B (SambaNova): Summary
When comparing Gemini 3.1 Pro and GPT-OSS 120B (SambaNova) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT-OSS 120B (SambaNova) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $51.50/month, compared to $800.00/month for Gemini 3.1 Pro.
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 3.1 Pro charges $2.00/M for input tokens and $12.00/M for output tokens. GPT-OSS 120B (SambaNova) charges $0.22/M input and $0.59/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.
Prompt caching is supported by Gemini 3.1 Pro but not GPT-OSS 120B (SambaNova). For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.
Context window capacity differs between the two: Gemini 3.1 Pro supports up to 2,097,152 tokens in a single request, versus 128,000 tokens for GPT-OSS 120B (SambaNova). 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.
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