Together AI - Gemma 3n-e4B vs Mistral Small 3.1 24B Instruct
Together AI - Gemma 3n-e4B (2026) and Mistral Small 3.1 24B Instruct (2025) are compact production models from Google DeepMind and MistralAI. Together AI - Gemma 3n-e4B ships a 8k-token context window, while Mistral Small 3.1 24B Instruct 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.
Together AI - Gemma 3n-e4B is ~400% cheaper at $0.02/1M; pay for Mistral Small 3.1 24B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Together AI - Gemma 3n-e4B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Best for | tool-calling agents | multimodal apps and provider-routed production |
| Decision fit | Agents, Classification, and JSON / Tool use | RAG, Long context, and Vision |
| Context window | 8k | 128k |
| Cheapest output | $0.04/1M tokens | $0.30/1M tokens |
| Provider routes | 1 tracked | 6 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Together AI - Gemma 3n-e4B has the lower cheapest tracked output price at $0.04/1M tokens.
- Together AI - Gemma 3n-e4B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Together AI - Gemma 3n-e4B for Agents, Classification, and JSON / Tool use.
- Mistral Small 3.1 24B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 3.1 24B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small 3.1 24B Instruct uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
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 3.1 24B Instruct
$155
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $129. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Mistral Small 3.1 24B Instruct is $0.26/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- Mistral Small 3.1 24B Instruct adds Vision and Multimodal in local capability data.
- Provider overlap exists on Together AI; start route-level A/B tests there.
- Together AI - Gemma 3n-e4B is $0.26/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- Together AI - Gemma 3n-e4B adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-03-15 | 2025-12-15 |
| Context window | 8k | 128k |
| Parameters | 4B | 24B |
| Architecture | decoder only | dense |
| 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 3.1 24B Instruct |
|---|---|---|
| Input price | $0.02/1M tokens | $0.10/1M tokens |
| Output price | $0.04/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | Together AI - Gemma 3n-e4B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| 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 3.1 24B Instruct, multimodal input: Mistral Small 3.1 24B Instruct, function calling: Together AI - Gemma 3n-e4B, and tool use: Together AI - Gemma 3n-e4B. Both models share 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.
For cost, Together AI - Gemma 3n-e4B lists $0.02/1M input and $0.04/1M output tokens on the cheapest tracked provider, while Mistral Small 3.1 24B Instruct lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Together AI - Gemma 3n-e4B lower by about $0.13 per million blended tokens. Availability is 1 providers versus 6, so concentration risk also matters.
Choose Together AI - Gemma 3n-e4B when provider fit and lower input-token cost are central to the workload. Choose Mistral Small 3.1 24B Instruct when long-context analysis, larger context windows, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Together AI - Gemma 3n-e4B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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.
Which is cheaper, Together AI - Gemma 3n-e4B or Mistral Small 3.1 24B Instruct?
Together AI - Gemma 3n-e4B is cheaper on tracked token pricing. Together AI - Gemma 3n-e4B costs $0.02/1M input and $0.04/1M output tokens. Mistral Small 3.1 24B Instruct costs $0.10/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Together AI - Gemma 3n-e4B or Mistral Small 3.1 24B Instruct open source?
Together AI - Gemma 3n-e4B is listed under Gemma. Mistral Small 3.1 24B Instruct 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 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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.
Where can I run Together AI - Gemma 3n-e4B and Mistral Small 3.1 24B Instruct?
Together AI - Gemma 3n-e4B is available on Together AI. Mistral Small 3.1 24B Instruct is available on Cloudflare Workers AI, OpenRouter, Fireworks AI, NVIDIA NIM, and Together 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.