Llama 3.3 70B vs Mistral Large 2
Llama 3.3 70B (2025) and Mistral Large 2 (2025) are compact production models from AI at Meta and MistralAI. Llama 3.3 70B ships a 8k-token context window, while Mistral Large 2 ships a 128k-token context window. On MMLU PRO, Llama 3.3 70B leads by 1.6 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 2 is ~88% cheaper at $0.48/1M; pay for Llama 3.3 70B only for vision-heavy evaluation.
Decision scorecard
Local evidence first| Signal | Llama 3.3 70B | Mistral Large 2 |
|---|---|---|
| Best for | multimodal apps and tool-calling agents | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | Agents, Vision, and Classification | Coding, RAG, and Agents |
| Context window | 8k | 128k |
| Cheapest output | $0.90/1M tokens | $2.40/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 1 shared |
Decision tradeoffs
- Llama 3.3 70B holds a shared-benchmark lead on MMLU PRO, ahead by 1.6 points.
- Llama 3.3 70B has the lower cheapest tracked output price at $0.90/1M tokens.
- Local decision data tags Llama 3.3 70B for Agents, Vision, and Classification.
- Mistral Large 2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Large 2 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Large 2 uniquely exposes Structured outputs in local model data.
- Local decision data tags Mistral Large 2 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 2
$984
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $39.00. 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 3.3 70B and Mistral Large 2; plan for SDK, billing, or endpoint changes.
- Mistral Large 2 is $1.50/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Large 2 adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Mistral Large 2 and Llama 3.3 70B; plan for SDK, billing, or endpoint changes.
- Llama 3.3 70B is $1.50/1M 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 | 2025-12-09 | 2025-11-25 |
| Context window | 8k | 128k |
| Parameters | 70B | 123B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 3 Community | Mistral License |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use: conditional | Commercial use: non-commercial |
| Knowledge cutoff | 2024-12 | 2025-07 |
Pricing and availability
| Pricing attribute | Llama 3.3 70B | Mistral Large 2 |
|---|---|---|
| Input price | $0.90/1M tokens | $0.48/1M tokens |
| Output price | $0.90/1M tokens | $2.40/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 70B | Mistral Large 2 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| 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 2 |
|---|---|---|
| MMLU PRO | 71.3 | 69.7 |
Deep dive
On shared benchmark coverage, MMLU PRO has Llama 3.3 70B at 71.3 and Mistral Large 2 at 69.7, with Llama 3.3 70B ahead by 1.6 points. The largest visible gap is 1.6 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 structured outputs: Mistral Large 2. Both models share vision, multimodal input, function calling, and tool use, 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 2 lists $0.48/1M input and $2.40/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.3 70B lower by about $0.16 per million blended tokens. Availability is 1 providers versus 3, so concentration risk also matters.
Choose Llama 3.3 70B when vision-heavy evaluation are central to the workload. Choose Mistral Large 2 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 2?
Mistral Large 2 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 2?
Llama 3.3 70B is cheaper on tracked token pricing. Llama 3.3 70B costs $0.90/1M input and $0.90/1M output tokens. Mistral Large 2 costs $0.48/1M input and $2.40/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Llama 3.3 70B or Mistral Large 2 open source?
Llama 3.3 70B is listed under Llama 3 Community. Mistral Large 2 is listed under Mistral License. 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 2?
Both Llama 3.3 70B and Mistral Large 2 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 2?
Both Llama 3.3 70B and Mistral Large 2 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 2?
Llama 3.3 70B is available on Fireworks AI. Mistral Large 2 is available on IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.