ELYZA Japanese Llama 2 7B vs Mistral Small 3.1 24B Instruct
ELYZA Japanese Llama 2 7B (2023) and Mistral Small 3.1 24B Instruct (2025) are compact production models from ELYZA and MistralAI. ELYZA Japanese Llama 2 7B ships a not-yet-sourced context window, while Mistral Small 3.1 24B Instruct ships a 128k-token context window. On pricing, Mistral Small 3.1 24B Instruct costs $0.10/1M input tokens versus $0.20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Mistral Small 3.1 24B Instruct is ~100% cheaper at $0.10/1M; pay for ELYZA Japanese Llama 2 7B only for provider fit.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 7B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | General | RAG, Long context, and Vision |
| Context window | — | 128k |
| Cheapest output | $0.20/1M tokens | $0.30/1M tokens |
| Provider routes | 2 tracked | 6 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- ELYZA Japanese Llama 2 7B has the lower cheapest tracked output price at $0.20/1M tokens.
- Mistral Small 3.1 24B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 3.1 24B Instruct has broader tracked provider coverage for fallback and route flexibility.
- Mistral Small 3.1 24B Instruct uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
- Local decision data tags Mistral Small 3.1 24B Instruct for RAG, Long context, and Vision.
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
Mistral Small 3.1 24B Instruct
$155
Cheapest tracked route/tier: Together AI
Estimated monthly gap: $55.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- Mistral Small 3.1 24B Instruct is $0.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Small 3.1 24B Instruct adds Vision, Multimodal, and Structured outputs in local capability data.
- Provider overlap exists on Fireworks AI; start route-level A/B tests there.
- ELYZA Japanese Llama 2 7B is $0.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-08-02 | 2025-12-15 |
| Context window | — | 128k |
| Parameters | 7B | 24B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Apache 2.0OSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | - | 2023-10 |
Pricing and availability
| Pricing attribute | ELYZA Japanese Llama 2 7B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Input price | $0.20/1M tokens | $0.10/1M tokens |
| Output price | $0.20/1M tokens | $0.30/1M tokens |
| Providers |
Capabilities
| Capability | ELYZA Japanese Llama 2 7B | Mistral Small 3.1 24B Instruct |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-06-15. Data sourced from public model cards and provider documentation.