LLM Reference

ELYZA Japanese Llama 2 7B vs Gemma 2 9B SahabatAI Instruct

ELYZA Japanese Llama 2 7B (2023) and Gemma 2 9B SahabatAI Instruct (2025) are compact production models from ELYZA and GoToCompany. ELYZA Japanese Llama 2 7B ships a not-yet-sourced context window, while Gemma 2 9B SahabatAI Instruct ships a 8k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemma 2 9B SahabatAI Instruct is safer overall; choose ELYZA Japanese Llama 2 7B when provider fit matters.

Decision scorecard

Local evidence first
SignalELYZA Japanese Llama 2 7BGemma 2 9B SahabatAI Instruct
Best forprovider-routed productiongeneral production evaluation
Decision fitGeneralGeneral
Context window—8k
Cheapest output$0.20/1M tokens-
Provider routes2 tracked1 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose ELYZA Japanese Llama 2 7B when...
  • ELYZA Japanese Llama 2 7B has broader tracked provider coverage for fallback and route flexibility.
Choose Gemma 2 9B SahabatAI Instruct when...
  • Gemma 2 9B SahabatAI Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

ELYZA Japanese Llama 2 7B

$210

Cheapest tracked route/tier: Fireworks AI

Gemma 2 9B SahabatAI Instruct

Unavailable

No complete token price in local provider data

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

Switch friction

ELYZA Japanese Llama 2 7B -> Gemma 2 9B SahabatAI Instruct
  • No overlapping tracked provider route is sourced for ELYZA Japanese Llama 2 7B and Gemma 2 9B SahabatAI Instruct; plan for SDK, billing, or endpoint changes.
Gemma 2 9B SahabatAI Instruct -> ELYZA Japanese Llama 2 7B
  • No overlapping tracked provider route is sourced for Gemma 2 9B SahabatAI Instruct and ELYZA Japanese Llama 2 7B; plan for SDK, billing, or endpoint changes.

Specs

Specification
Released2023-08-022025-01-01
Context window—8k
Parameters7B9B
ArchitectureDecoder OnlyDecoder Only
LicenseLlama 2 CommunityOpen Weights
OpennessOpen weightsOpen weights
WeightsUnknownUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditional-
Knowledge cutoff--

Pricing and availability

Pricing attributeELYZA Japanese Llama 2 7BGemma 2 9B SahabatAI Instruct
Input price$0.20/1M tokens-
Output price$0.20/1M tokens-
Providers

Capabilities

CapabilityELYZA Japanese Llama 2 7BGemma 2 9B SahabatAI Instruct
VisionNoNo
MultimodalNoNo
ReasoningNoNo
JSON / Tool useNoNo
Structured outputsNoNo
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

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Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.