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ELYZA Japanese Llama 2 13B vs Mistral Small 3

ELYZA Japanese Llama 2 13B (2023) and Mistral Small 3 (2025) are compact production models from ELYZA and MistralAI. ELYZA Japanese Llama 2 13B ships a not-yet-sourced context window, while Mistral Small 3 ships a 33K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Mistral Small 3 is safer overall; choose ELYZA Japanese Llama 2 13B when provider fit matters.

Decision scorecard

Local evidence first
SignalELYZA Japanese Llama 2 13BMistral Small 3
Decision fitGeneralAgents, Classification, and JSON / Tool use
Context window33K
Cheapest output-$0.3/1M tokens
Provider routes0 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose ELYZA Japanese Llama 2 13B when...
  • Use ELYZA Japanese Llama 2 13B when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Choose Mistral Small 3 when...
  • Mistral Small 3 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Mistral Small 3 has broader tracked provider coverage for fallback and procurement flexibility.
  • Mistral Small 3 uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags Mistral Small 3 for Agents, Classification, and JSON / Tool use.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

ELYZA Japanese Llama 2 13B

Unavailable

No complete token price in local provider data

Mistral Small 3

$155

Cheapest tracked route: Together AI

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

ELYZA Japanese Llama 2 13B -> Mistral Small 3
  • No overlapping tracked provider route is sourced for ELYZA Japanese Llama 2 13B and Mistral Small 3; plan for SDK, billing, or endpoint changes.
  • Mistral Small 3 adds Function calling, Tool use, and Structured outputs in local capability data.
Mistral Small 3 -> ELYZA Japanese Llama 2 13B
  • No overlapping tracked provider route is sourced for Mistral Small 3 and ELYZA Japanese Llama 2 13B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.

Specs

Specification
Released2023-08-022025-01-01
Context window33K
Parameters13B
Architecturedecoder onlydecoder only
LicenseUnknownOpen Source
Knowledge cutoff--

Pricing and availability

Pricing attributeELYZA Japanese Llama 2 13BMistral Small 3
Input price-$0.1/1M tokens
Output price-$0.3/1M tokens
Providers-

Capabilities

CapabilityELYZA Japanese Llama 2 13BMistral Small 3
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsNoYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Mistral Small 3, tool use: Mistral Small 3, and structured outputs: Mistral Small 3. 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.

Pricing coverage is uneven: ELYZA Japanese Llama 2 13B has no token price sourced yet and Mistral Small 3 has $0.1/1M input tokens. Provider availability is 0 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose ELYZA Japanese Llama 2 13B when provider fit are central to the workload. Choose Mistral Small 3 when provider fit 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Is ELYZA Japanese Llama 2 13B or Mistral Small 3 open source?

ELYZA Japanese Llama 2 13B is listed under Unknown. Mistral Small 3 is listed under Open Source. 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 function calling, ELYZA Japanese Llama 2 13B or Mistral Small 3?

Mistral Small 3 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, ELYZA Japanese Llama 2 13B or Mistral Small 3?

Mistral Small 3 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, ELYZA Japanese Llama 2 13B or Mistral Small 3?

Mistral Small 3 has the clearer documented structured outputs signal in this comparison. If structured outputs is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run ELYZA Japanese Llama 2 13B and Mistral Small 3?

ELYZA Japanese Llama 2 13B is available on the tracked providers still being sourced. Mistral Small 3 is available on Together AI. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

When should I pick ELYZA Japanese Llama 2 13B over Mistral Small 3?

Mistral Small 3 is safer overall; choose ELYZA Japanese Llama 2 13B when provider fit matters. If your workload also depends on provider fit, start with ELYZA Japanese Llama 2 13B; if it depends on provider fit, run the same evaluation with Mistral Small 3.

Continue comparing

Last reviewed: 2026-05-14. Data sourced from public model cards and provider documentation.