ELYZA Japanese Llama 2 7B vs Mistral Small 4
ELYZA Japanese Llama 2 7B (2023) and Mistral Small 4 (2026) are general-purpose language models from ELYZA and MistralAI. ELYZA Japanese Llama 2 7B ships a not-yet-sourced context window, while Mistral Small 4 ships a 256k-token context window. On pricing, Mistral Small 4 costs $0.15/1M 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 4 is safer overall; choose ELYZA Japanese Llama 2 7B when provider fit matters.
Decision scorecard
Local evidence first| Signal | ELYZA Japanese Llama 2 7B | Mistral Small 4 |
|---|---|---|
| Best for | provider-routed production | multimodal apps, tool-calling agents, and provider-routed production |
| Decision fit | General | RAG, Agents, and Long context |
| Context window | — | 256k |
| Cheapest output | $0.20/1M tokens | $0.60/1M tokens |
| Provider routes | 2 tracked | 3 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 4 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral Small 4 has broader tracked provider coverage for fallback and procurement flexibility.
- Mistral Small 4 uniquely exposes Vision, Multimodal, and Function calling in local model data.
- Local decision data tags Mistral Small 4 for RAG, Agents, and Long context.
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 4
$270
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $60.00. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for ELYZA Japanese Llama 2 7B and Mistral Small 4; plan for SDK, billing, or endpoint changes.
- Mistral Small 4 is $0.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Mistral Small 4 adds Vision, Multimodal, and Function calling in local capability data.
- No overlapping tracked provider route is sourced for Mistral Small 4 and ELYZA Japanese Llama 2 7B; plan for SDK, billing, or endpoint changes.
- ELYZA Japanese Llama 2 7B is $0.40/1M 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 | ||
|---|---|---|
| Released | 2023-08-02 | 2026-03-16 |
| Context window | — | 256k |
| Parameters | 7B | 119B (6.5B active) |
| Architecture | decoder only | moe |
| License | Llama 2 Community | Apache 2.0(OSI) |
| Openness | Open weights | Open source |
| Commercial use | Commercial use with conditions | Commercial use allowed |
| Knowledge cutoff | - | 2025-06 |
Pricing and availability
| Pricing attribute | ELYZA Japanese Llama 2 7B | Mistral Small 4 |
|---|---|---|
| Input price | $0.20/1M tokens | $0.15/1M tokens |
| Output price | $0.20/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | ELYZA Japanese Llama 2 7B | Mistral Small 4 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | No |
| 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 4, multimodal input: Mistral Small 4, function calling: Mistral Small 4, and tool use: Mistral Small 4. 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 4 lists $0.15/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts ELYZA Japanese Llama 2 7B lower by about $0.08 per million blended tokens. Availability is 2 providers versus 3, so concentration risk also matters.
Choose ELYZA Japanese Llama 2 7B when provider fit are central to the workload. Choose Mistral Small 4 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. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.
FAQ
Which is cheaper, ELYZA Japanese Llama 2 7B or Mistral Small 4?
ELYZA Japanese Llama 2 7B is cheaper on tracked token pricing. ELYZA Japanese Llama 2 7B costs $0.20/1M input and $0.20/1M output tokens. Mistral Small 4 costs $0.15/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is ELYZA Japanese Llama 2 7B or Mistral Small 4 open source?
ELYZA Japanese Llama 2 7B is listed under Llama 2 Community. Mistral Small 4 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 4?
Mistral Small 4 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 4?
Mistral Small 4 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 function calling, ELYZA Japanese Llama 2 7B or Mistral Small 4?
Mistral Small 4 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.
Where can I run ELYZA Japanese Llama 2 7B and Mistral Small 4?
ELYZA Japanese Llama 2 7B is available on Fireworks AI and IBM watsonx. Mistral Small 4 is available on OpenRouter, NVIDIA NIM, and Mistral AI Studio. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-19. Data sourced from public model cards and provider documentation.