Llama 3.3 70B vs Mistral Large 3 675B Instruct
Llama 3.3 70B (2025) and Mistral Large 3 675B Instruct (2025) are compact production models from AI at Meta and MistralAI. Llama 3.3 70B ships a 8k-token context window, while Mistral Large 3 675B Instruct ships a 128k-token context window. On MMLU PRO, Mistral Large 3 675B Instruct leads by 14.2 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Large 3 675B Instruct is ~80% cheaper at $0.50/1M; pay for Llama 3.3 70B only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Llama 3.3 70B | Mistral Large 3 675B Instruct |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | multimodal apps and provider-routed production |
| Decision fit | Agents, Vision, and Classification | Coding, RAG, and Agents |
| Context window | 8k | 128k |
| Cheapest output | $0.90/1M tokens | $1.50/1M tokens |
| Provider routes | 1 tracked | 6 tracked |
| Shared benchmarks | 1 shared | MMLU PRO leader |
Decision tradeoffs
- Llama 3.3 70B has the lower cheapest tracked output price at $0.90/1M tokens.
- Llama 3.3 70B uniquely exposes Function calling and Tool use in local model data.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
- Mistral Large 3 675B Instruct holds a shared-benchmark lead on MMLU PRO, ahead by 14.2 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 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 3.3 70B
$945
Cheapest tracked route/tier: Fireworks AI
Mistral Large 3 675B Instruct
$775
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $170. 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 3.3 70B and Mistral Large 3 675B Instruct; plan for SDK, billing, or endpoint changes.
- Mistral Large 3 675B Instruct is $0.60/1M 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 Large 3 675B Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 3 675B Instruct and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B is $0.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Structured outputs before moving production traffic.
- Llama 3.3 70B adds Function calling and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-09 | 2025-12-01 |
| Context window | 8k | 128k |
| Parameters | 70B | 675B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2024-12 | 2024-11 |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Mistral Large 3 675B Instruct |
|---|---|---|
| Input price | $0.90/1M tokens | $0.50/1M tokens |
| Output price | $0.90/1M tokens | $1.50/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 70B | Mistral Large 3 675B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | Llama 3.3 70B | Mistral Large 3 675B Instruct |
|---|---|---|
| MMLU PRO | 71.3 | 85.5 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3.3 70B at 71.3 and Mistral Large 3 675B Instruct at 85.5, with Mistral Large 3 675B Instruct ahead by 14.2 points. The largest visible gap is 14.2 points on MMLU PRO, 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 function calling: Llama 3.3 70B, tool use: Llama 3.3 70B, and structured outputs: Mistral Large 3 675B Instruct. Both models share vision and multimodal input, 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 3.3 70B lists $0.90/1M input and $0.90/1M 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 Mistral Large 3 675B Instruct lower by about $0.10 per million blended tokens. Availability is 1 providers versus 6, so concentration risk also matters.
Choose Llama 3.3 70B when vision-heavy evaluation are central to the workload. Choose Mistral Large 3 675B Instruct 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 3.3 70B or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct supports 128k tokens, while Llama 3.3 70B 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, Llama 3.3 70B or Mistral Large 3 675B Instruct?
Mistral Large 3 675B Instruct is cheaper on tracked token pricing. Llama 3.3 70B costs $0.90/1M input and $0.90/1M 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 3.3 70B or Mistral Large 3 675B Instruct open source?
Llama 3.3 70B is listed under Llama 3 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 3.3 70B or Mistral Large 3 675B Instruct?
Both Llama 3.3 70B and Mistral Large 3 675B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Llama 3.3 70B or Mistral Large 3 675B Instruct?
Both Llama 3.3 70B and Mistral Large 3 675B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Llama 3.3 70B and Mistral Large 3 675B Instruct?
Llama 3.3 70B 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.