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, capabilities, benchmarks, provider availability, and production fit.
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 | 5 tracked |
| Shared benchmarks | 0 rows | 0 rows |
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 procurement 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 | dense |
| License | Unknown | Apache 2.0 |
| 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 |
| Function calling | No | No |
| 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Mistral Small 3.1 24B Instruct, multimodal input: Mistral Small 3.1 24B Instruct, and structured outputs: Mistral Small 3.1 24B Instruct. 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, ELYZA Japanese Llama 2 7B lists $0.20/1M input and $0.20/1M output tokens on the cheapest tracked provider, while Mistral Small 3.1 24B Instruct lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Mistral Small 3.1 24B Instruct lower by about $0.04 per million blended tokens. Availability is 2 providers versus 5, so concentration risk also matters.
Choose ELYZA Japanese Llama 2 7B when provider fit are central to the workload. Choose Mistral Small 3.1 24B Instruct when vision-heavy evaluation, lower input-token cost, 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 is cheaper, ELYZA Japanese Llama 2 7B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct is cheaper on tracked token pricing. ELYZA Japanese Llama 2 7B costs $0.20/1M input and $0.20/1M output tokens. Mistral Small 3.1 24B Instruct costs $0.10/1M input and $0.30/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is ELYZA Japanese Llama 2 7B or Mistral Small 3.1 24B Instruct open source?
ELYZA Japanese Llama 2 7B is listed under Unknown. Mistral Small 3.1 24B Instruct is listed under Apache 2.0. 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, ELYZA Japanese Llama 2 7B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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, ELYZA Japanese Llama 2 7B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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.
Which is better for structured outputs, ELYZA Japanese Llama 2 7B or Mistral Small 3.1 24B Instruct?
Mistral Small 3.1 24B Instruct 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 7B and Mistral Small 3.1 24B Instruct?
ELYZA Japanese Llama 2 7B is available on Fireworks AI and IBM watsonx. Mistral Small 3.1 24B Instruct is available on OpenRouter, Fireworks AI, NVIDIA NIM, Together AI, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
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Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.