Mistral 7B v0.1 vs Nemotron 4 340B
Mistral 7B v0.1 (2023) and Nemotron 4 340B (2025) are compact production models from MistralAI and NVIDIA AI. Mistral 7B v0.1 ships a 8K-token context window, while Nemotron 4 340B ships a 4K-token context window. On pricing, Mistral 7B v0.1 costs $0.05/1M input tokens versus $4.2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
Mistral 7B v0.1 is ~8300% cheaper at $0.05/1M; pay for Nemotron 4 340B only for provider fit.
Decision scorecard
Local evidence first| Signal | Mistral 7B v0.1 | Nemotron 4 340B |
|---|---|---|
| Decision fit | General | Classification and JSON / Tool use |
| Context window | 8K | 4K |
| Cheapest output | $0.15/1M tokens | $4.2/1M tokens |
| Provider routes | 16 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Mistral 7B v0.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral 7B v0.1 has the lower cheapest tracked output price at $0.15/1M tokens.
- Mistral 7B v0.1 has broader tracked provider coverage for fallback and procurement flexibility.
- Nemotron 4 340B uniquely exposes Structured outputs in local model data.
- Local decision data tags Nemotron 4 340B for Classification and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
Mistral 7B v0.1
$77.50
Cheapest tracked route: DeepInfra
Nemotron 4 340B
$4,410
Cheapest tracked route: DeepInfra
Estimated monthly gap: $4,333. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on NVIDIA NIM and DeepInfra; start route-level A/B tests there.
- Nemotron 4 340B is $4.05/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Nemotron 4 340B adds Structured outputs in local capability data.
- Provider overlap exists on DeepInfra and NVIDIA NIM; start route-level A/B tests there.
- Mistral 7B v0.1 is $4.05/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-09-27 | 2025-02-27 |
| Context window | 8K | 4K |
| Parameters | 7B | 340B |
| Architecture | decoder only | decoder only |
| License | Apache 2.0 | Unknown |
| Knowledge cutoff | 2023-12 | - |
Pricing and availability
| Pricing attribute | Mistral 7B v0.1 | Nemotron 4 340B |
|---|---|---|
| Input price | $0.05/1M tokens | $4.2/1M tokens |
| Output price | $0.15/1M tokens | $4.2/1M tokens |
| Providers |
Capabilities
| Capability | Mistral 7B v0.1 | Nemotron 4 340B |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on structured outputs: Nemotron 4 340B. Both models share the core language-model surface, 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, Mistral 7B v0.1 lists $0.05/1M input and $0.15/1M output tokens, while Nemotron 4 340B lists $4.2/1M input and $4.2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral 7B v0.1 lower by about $4.12 per million blended tokens. Availability is 16 providers versus 2, so concentration risk also matters.
Choose Mistral 7B v0.1 when long-context analysis, larger context windows, and lower input-token cost are central to the workload. Choose Nemotron 4 340B when provider fit 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Mistral 7B v0.1 or Nemotron 4 340B?
Mistral 7B v0.1 supports 8K tokens, while Nemotron 4 340B supports 4K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Mistral 7B v0.1 or Nemotron 4 340B?
Mistral 7B v0.1 is cheaper on tracked token pricing. Mistral 7B v0.1 costs $0.05/1M input and $0.15/1M output tokens. Nemotron 4 340B costs $4.2/1M input and $4.2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Mistral 7B v0.1 or Nemotron 4 340B open source?
Mistral 7B v0.1 is listed under Apache 2.0. Nemotron 4 340B is listed under Unknown. 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 structured outputs, Mistral 7B v0.1 or Nemotron 4 340B?
Nemotron 4 340B has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Mistral 7B v0.1 and Nemotron 4 340B?
Mistral 7B v0.1 is available on GCP Vertex AI, OctoAI API (Deprecated), DeepInfra, Mistral AI Studio, and Baseten API. Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Mistral 7B v0.1 over Nemotron 4 340B?
Mistral 7B v0.1 is ~8300% cheaper at $0.05/1M; pay for Nemotron 4 340B only for provider fit. If your workload also depends on long-context analysis, start with Mistral 7B v0.1; if it depends on provider fit, run the same evaluation with Nemotron 4 340B.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.