Llama 2 7B vs Mistral Medium 3.5
Llama 2 7B (2023) and Mistral Medium 3.5 (2026) are frontier reasoning models from AI at Meta and MistralAI. Llama 2 7B ships a 4k-token context window, while Mistral Medium 3.5 ships a 256k-token context window. On Google-Proof Q&A, Mistral Medium 3.5 leads by 35.4 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Llama 2 7B is ~650% cheaper at $0.20/1M; pay for Mistral Medium 3.5 only for reasoning depth.
Decision scorecard
Local evidence first| Signal | Llama 2 7B | Mistral Medium 3.5 |
|---|---|---|
| Best for | general production evaluation | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding and Classification | Coding, RAG, and Agents |
| Context window | 4k | 256k |
| Cheapest output | $0.20/1M tokens | $7.50/1M 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 Medium 3.5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 35.4 points.
- Mistral Medium 3.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Medium 3.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Medium 3.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Mistral Medium 3.5 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.
Llama 2 7B
$210
Cheapest tracked route/tier: Fireworks AI
Mistral Medium 3.5
$3,075
Cheapest tracked route/tier: Mistral AI Studio
Estimated monthly gap: $2,865. 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 Medium 3.5; plan for SDK, billing, or endpoint changes.
- Mistral Medium 3.5 is $7.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Medium 3.5 adds Vision, Multimodal, and Reasoning in local capability data.
- No overlapping tracked provider route is sourced for Mistral Medium 3.5 and Llama 2 7B; plan for SDK, billing, or endpoint changes.
- Llama 2 7B is $7.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2026-04-29 |
| Context window | 4k | 256k |
| Parameters | 7B | 128B |
| Architecture | decoder only | decoder only |
| License | Llama 2 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2022-09 | - |
Pricing and availability
| Pricing attribute | Llama 2 7B | Mistral Medium 3.5 |
|---|---|---|
| Input price | $0.20/1M tokens | $1.50/1M tokens |
| Output price | $0.20/1M tokens | $7.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 7B | Mistral Medium 3.5 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 2 7B | Mistral Medium 3.5 |
|---|---|---|
| Google-Proof Q&A | 35.9 | 71.3 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Llama 2 7B at 35.9 and Mistral Medium 3.5 at 71.3, with Mistral Medium 3.5 ahead by 35.4 points. The largest visible gap is 35.4 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 Medium 3.5, multimodal input: Mistral Medium 3.5, reasoning mode: Mistral Medium 3.5, function calling: Mistral Medium 3.5, tool use: Mistral Medium 3.5, and structured outputs: Mistral Medium 3.5. 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 Medium 3.5 lists $1.50/1M input and $7.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 7B lower by about $3.10 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Llama 2 7B when provider fit and lower input-token cost are central to the workload. Choose Mistral Medium 3.5 when reasoning depth, 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, Llama 2 7B or Mistral Medium 3.5?
Mistral Medium 3.5 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 Medium 3.5?
Llama 2 7B is cheaper on tracked token pricing. Llama 2 7B costs $0.20/1M input and $0.20/1M output tokens. Mistral Medium 3.5 costs $1.50/1M input and $7.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 7B or Mistral Medium 3.5 open source?
Llama 2 7B is listed under Llama 2 Community. Mistral Medium 3.5 is listed under Proprietary. 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 Medium 3.5?
Mistral Medium 3.5 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 Medium 3.5?
Mistral Medium 3.5 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 Medium 3.5?
Llama 2 7B is available on Fireworks AI. Mistral Medium 3.5 is available on Mistral AI Studio, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.