Together AI - Gemma 3n-e4B vs Mistral Small 3.2 24B
Together AI - Gemma 3n-e4B (2026) and Mistral Small 3.2 24B (2025) are compact production models from Google DeepMind and MistralAI. Together AI - Gemma 3n-e4B ships a 8k-token context window, while Mistral Small 3.2 24B ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Small 3.2 24B fits 16x more tokens; pick it for long-context work and Together AI - Gemma 3n-e4B for tighter calls.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Mistral Small 3.2 24B |
|---|---|---|
| Best for | tool-calling agents | multimodal apps and tool-calling agents |
| Decision fit | Agents, Classification, and JSON / Tool use | Coding, RAG, and Agents |
| Context window | 8k | 128k |
| Cheapest output | $0.04/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
- Mistral Small 3.2 24B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 3.2 24B uniquely exposes Vision, Multimodal, and Code execution in local model data.
- Local decision data tags Mistral Small 3.2 24B for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Together AI - Gemma 3n-e4B
$26.00
Cheapest tracked route/tier: Together AI
Mistral Small 3.2 24B
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Together AI - Gemma 3n-e4B and Mistral Small 3.2 24B; plan for SDK, billing, or endpoint changes.
- Mistral Small 3.2 24B adds Vision, Multimodal, and Code execution in local capability data.
- No overlapping tracked provider route is sourced for Mistral Small 3.2 24B and Together AI - Gemma 3n-e4B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2025-06-01 |
| Context window | 8k | 128k |
| Parameters | 4B | 24B |
| Architecture | decoder only | decoder only |
| License | Gemma | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2024-06 | 2023-10 |
Pricing and availability
| Pricing attribute | Together AI - Gemma 3n-e4B | Mistral Small 3.2 24B |
|---|---|---|
| Input price | $0.02/1M tokens | - |
| Output price | $0.04/1M tokens | - |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Mistral Small 3.2 24B |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Small 3.2 24B, multimodal input: Mistral Small 3.2 24B, and code execution: Mistral Small 3.2 24B. Both models share function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Together AI - Gemma 3n-e4B has $0.02/1M input tokens and Mistral Small 3.2 24B has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Together AI - Gemma 3n-e4B when provider fit are central to the workload. Choose Mistral Small 3.2 24B when coding workflow support and larger context windows are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Mistral Small 3.2 24B?
Mistral Small 3.2 24B supports 128k tokens, while Together AI - Gemma 3n-e4B supports 8k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Together AI - Gemma 3n-e4B or Mistral Small 3.2 24B open source?
Together AI - Gemma 3n-e4B is listed under Gemma. Mistral Small 3.2 24B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Together AI - Gemma 3n-e4B or Mistral Small 3.2 24B?
Mistral Small 3.2 24B has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Together AI - Gemma 3n-e4B or Mistral Small 3.2 24B?
Mistral Small 3.2 24B has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, Together AI - Gemma 3n-e4B or Mistral Small 3.2 24B?
Both Together AI - Gemma 3n-e4B and Mistral Small 3.2 24B expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Together AI - Gemma 3n-e4B and Mistral Small 3.2 24B?
Together AI - Gemma 3n-e4B is available on Together AI. Mistral Small 3.2 24B is available on Venice AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.