LLM Reference

Llama 2 7B vs Mistral Large 2

Llama 2 7B (2023) and Mistral Large 2 (2025) are compact production models from AI at Meta and MistralAI. Llama 2 7B ships a 4k-token context window, while Mistral Large 2 ships a 128k-token context window. On HumanEval, Mistral Large 2 leads by 39.7 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 ~140% cheaper at $0.20/1M; pay for Mistral Large 2 only for long-context analysis.

Decision scorecard

Local evidence first
SignalLlama 2 7BMistral Large 2
Best forgeneral production evaluationmultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding and ClassificationCoding, RAG, and Agents
Context window4k128k
Cheapest output$0.20/1M tokens$2.40/1M tokens
Provider routes1 tracked4 tracked
Shared benchmarks3 rowsHumanEval leader

Decision tradeoffs

Choose Llama 2 7B when...
  • 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.
Choose Mistral Large 2 when...
  • Mistral Large 2 holds a shared-benchmark lead on HumanEval, ahead by 39.7 points.
  • 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 Vision, Multimodal, and Function calling 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.

Lower estimate Llama 2 7B

Llama 2 7B

$210

Cheapest tracked route/tier: Fireworks AI

Mistral Large 2

$984

Cheapest tracked route/tier: AWS Bedrock

Estimated monthly gap: $774. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Llama 2 7B -> Mistral Large 2
  • No overlapping tracked provider route is sourced for Llama 2 7B and Mistral Large 2; plan for SDK, billing, or endpoint changes.
  • Mistral Large 2 is $2.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Mistral Large 2 adds Vision, Multimodal, and Function calling in local capability data.
Mistral Large 2 -> Llama 2 7B
  • No overlapping tracked provider route is sourced for Mistral Large 2 and Llama 2 7B; plan for SDK, billing, or endpoint changes.
  • Llama 2 7B is $2.20/1M 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
Released2023-07-182025-11-25
Context window4k128k
Parameters7B123B
Architecturedecoder onlydecoder only
LicenseLlama 2 CommunityMistral License
OpennessOpen weightsOpen weights
Commercial useCommercial use with conditionsNon-commercial only
Knowledge cutoff2022-092025-07

Pricing and availability

Pricing attributeLlama 2 7BMistral Large 2
Input price$0.20/1M tokens$0.48/1M tokens
Output price$0.20/1M tokens$2.40/1M tokens
Providers

Capabilities

CapabilityLlama 2 7BMistral Large 2
VisionNoYes
MultimodalNoYes
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkLlama 2 7BMistral Large 2
HumanEval45.184.8
Massive Multitask Language Understanding63.584.0
HellaSwag85.193.8

Deep dive

On shared benchmark coverage, HumanEval has Llama 2 7B at 45.1 and Mistral Large 2 at 84.8, with Mistral Large 2 ahead by 39.7 points; Massive Multitask Language Understanding has Llama 2 7B at 63.5 and Mistral Large 2 at 84, with Mistral Large 2 ahead by 20.5 points; HellaSwag has Llama 2 7B at 85.1 and Mistral Large 2 at 93.8, with Mistral Large 2 ahead by 8.7 points. The largest visible gap is 39.7 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 2, multimodal input: Mistral Large 2, function calling: Mistral Large 2, tool use: Mistral Large 2, and structured outputs: Mistral Large 2. 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 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 2 7B lower by about $0.86 per million blended tokens. Availability is 1 providers versus 4, 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 2 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 2?

Mistral Large 2 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 2?

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 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 2 7B or Mistral Large 2 open source?

Llama 2 7B is listed under Llama 2 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 2 7B or Mistral Large 2?

Mistral Large 2 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 2?

Mistral Large 2 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 2?

Llama 2 7B is available on Fireworks AI. Mistral Large 2 is available on OpenRouter, IBM watsonx, AWS Bedrock, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.