Llama 2 7B vs Mistral Large 3 675B Instruct
Llama 2 7B (2023) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 2 7B ships a 4k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On Google-Proof Q&A, Mistral Large 3 675B Instruct leads by 8 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 ~150% cheaper at $0.20/1M; pay for Mistral Large 3 675B Instruct only for long-context analysis.
Decision scorecard
Local evidence first| Signal | Llama 2 7B | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | general production evaluation | multimodal apps and provider-routed production |
| Decision fit | Coding and Classification | Coding, RAG, and Agents |
| Context window | 4k | 128k |
| Cheapest output | $0.20/1M tokens | $1.50/1M tokens |
| Provider routes | 1 tracked | 6 tracked |
| Shared benchmarks | 2 shared | 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 Large 3 675B Instruct holds a shared-benchmark lead on Google-Proof Q&A, ahead by 8 points.
- Mistral Large 3 675B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 3 675B Instruct has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 3 675B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Mistral Large 3 675B Instruct 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 Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $565. 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 Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
- Mistral Large 3 675B Instruct is $1.30/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 3 675B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and Llama 2 7B; plan for SDK, billing, or endpoint changes.
- Llama 2 7B is $1.30/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2025-12-01 |
| Context window | 4k | 128k |
| Parameters | 7B | 675B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2022-09 | 2024-11 |
Pricing and availability
| Pricing attribute | Llama 2 7B | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.20/1M tokens | $0.50/1M tokens |
| Output price | $0.20/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 2 7B | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| 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 Large 3 675B Instruct |
|---|---|---|
| Google-Proof Q&A | 35.9 | 43.9 |
| HumanEval | 45.1 | 92.0 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has Llama 2 7B at 35.9 and Mistral Large 3 675B Instruct at 43.9, with Mistral Large 3 675B Instruct ahead by 8 points; HumanEval has Llama 2 7B at 45.1 and Mistral Large 3 675B Instruct at 92, with Mistral Large 3 675B Instruct ahead by 46.9 points. The largest visible gap is 46.9 points on HumanEval, 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 Large 3 675B Instruct, multimodal input: Mistral Large 3 675B Instruct, and structured outputs: Mistral Large 3 675B Instruct. 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 Large 3 675B Instruct lists $0.50/1M input and $1.50/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 2 7B lower by about $0.60 per million blended tokens. Availability is 1 providers versus 6, so concentration risk also matters.
Choose Llama 2 7B when provider fit and lower input-token cost are central to the workload. Choose Mistral Large 3 675B 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, Llama 2 7B or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct supports 128k 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 Large 3 675B Instruct?
Llama 2 7B is cheaper on tracked token pricing. Llama 2 7B costs $0.20/1M input and $0.20/1M output tokens. Mistral Large 3 675B Instruct costs $0.50/1M input and $1.50/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 2 7B or Mistral Large 3 675B Instruct open source?
Llama 2 7B is listed under Llama 2 Community. Mistral Large 3 675B 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, Llama 2 7B or Mistral Large 3 675B Instruct?
Mistral Large 3 675B 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, Llama 2 7B or Mistral Large 3 675B Instruct?
Mistral Large 3 675B 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 Llama 2 7B and Mistral Large 3 675B Instruct?
Llama 2 7B is available on Fireworks AI. Mistral Large 3 675B Instruct is available on OpenRouter, AWS Bedrock, NVIDIA NIM, Mistral AI Studio, and Microsoft Foundry. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-19. Data sourced from public model cards and provider documentation.