Llama 2 7B vs Mistral Small 4
Llama 2 7B (2023) and Mistral Small 4 (2026) are compact production models from AI at Meta and MistralAI. Llama 2 7B ships a 4k-token context window, while Mistral Small 4 ships a 256k-token context window. On Google-Proof Q&A, Mistral Small 4 leads by 41.0 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Small 4 fits 64x more tokens; pick it for long-context work and Llama 2 7B for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 2 7B | Mistral Small 4 |
|---|---|---|
| Best for | general production evaluation | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Coding and Classification | RAG, Agents, and Long context |
| Context window | 4k | 256k |
| Cheapest output | $0.20/1M tokens | $0.60/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 1 rows | Google-Proof Q&A leader |
Decision tradeoffs
- Llama 2 7B has the lower cheapest tracked output price at $0.20/1M tokens.
- Local decision data tags Llama 2 7B for Coding and Classification.
- Mistral Small 4 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 41.0 points.
- Mistral Small 4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 4 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small 4 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Small 4 for RAG, Agents, and Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 2 7B
$210
Cheapest tracked route/tier: Fireworks AI
Mistral Small 4
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $60.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Llama 2 7B and Mistral Small 4; plan for SDK, billing, or endpoint changes.
- Mistral Small 4 is $0.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Small 4 adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mistral Small 4 and Llama 2 7B; plan for SDK, billing, or endpoint changes.
- Llama 2 7B is $0.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Function calling before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2026-03-16 |
| Context window | 4k | 256k |
| Parameters | 7B | 119B (6.5B active) |
| Architecture | decoder only | moe |
| License | Llama 2 Community | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | 2022-09 | 2025-06 |
Pricing and availability
| Pricing attribute | Llama 2 7B | Mistral Small 4 |
|---|---|---|
| Input price | $0.20/1M tokens | $0.15/1M tokens |
| Output price | $0.20/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 7B | Mistral Small 4 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 2 7B | Mistral Small 4 |
|---|---|---|
| Google-Proof Q&A | 35.9 | 76.9 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Llama 2 7B at 35.9 and Mistral Small 4 at 76.9, with Mistral Small 4 ahead by 41.0 points. The largest visible gap is 41.0 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: Mistral Small 4, multimodal input: Mistral Small 4, function calling: Mistral Small 4, and tool use: Mistral Small 4. 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, Llama 2 7B lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Mistral Small 4 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 7B lower by about $0.08 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Llama 2 7B when provider fit are central to the workload. Choose Mistral Small 4 when long-context analysis, larger context windows, and lower input-token cost 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, Llama 2 7B or Mistral Small 4?
Mistral Small 4 supports 256k tokens, while Llama 2 7B 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, Llama 2 7B or Mistral Small 4?
Llama 2 7B is cheaper on tracked token pricing. Llama 2 7B costs $0.20/1M input and $0.20/1M output tokens. Mistral Small 4 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 7B or Mistral Small 4 open source?
Llama 2 7B is listed under Llama 2 Community. Mistral Small 4 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, Llama 2 7B or Mistral Small 4?
Mistral Small 4 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, Llama 2 7B or Mistral Small 4?
Mistral Small 4 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 Llama 2 7B and Mistral Small 4?
Llama 2 7B is available on Fireworks AI. Mistral Small 4 is available on OpenRouter, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.