Claude Opus 4.7 vs Llama 3.2 90B Instruct
Claude Opus 4.7 (2026) and Llama 3.2 90B Instruct (2025) are frontier reasoning models from Anthropic and AI at Meta. Claude Opus 4.7 ships a 1m-token context window, while Llama 3.2 90B Instruct ships a 128k-token context window. On pricing, Llama 3.2 90B Instruct costs $1.35/1M input tokens versus $5/1M 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.
Llama 3.2 90B Instruct is ~270% cheaper at $1.35/1M; pay for Claude Opus 4.7 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Claude Opus 4.7 | Llama 3.2 90B Instruct |
|---|---|---|
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | multimodal apps |
| Decision fit | Coding, RAG, and Agents | RAG, Long context, and Vision |
| Context window | 1m | 128k |
| Cheapest output | $25/1M tokens | $1.80/1M tokens |
| Provider routes | 6 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Claude Opus 4.7 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Claude Opus 4.7 has broader tracked provider coverage for fallback and procurement flexibility.
- Claude Opus 4.7 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
- Local decision data tags Claude Opus 4.7 for Coding, RAG, and Agents.
- Llama 3.2 90B Instruct has the lower cheapest tracked output price at $1.80/1M tokens.
- Local decision data tags Llama 3.2 90B 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.
Claude Opus 4.7
$10,250
Cheapest tracked route/tier: Anthropic
Llama 3.2 90B Instruct
$1,530
Cheapest tracked route/tier: AWS Bedrock
Estimated monthly gap: $8,720. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Llama 3.2 90B Instruct is $23.20/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
- Provider overlap exists on AWS Bedrock; start route-level A/B tests there.
- Claude Opus 4.7 is $23.20/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Claude Opus 4.7 adds Reasoning, Function calling, and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-16 | 2025-09-01 |
| Context window | 1m | 128k |
| Parameters | — | 90B |
| Architecture | decoder only | - |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | 2026-01 | 2023-12 |
Pricing and availability
| Pricing attribute | Claude Opus 4.7 | Llama 3.2 90B Instruct |
|---|---|---|
| Input price | $5/1M tokens | $1.35/1M tokens |
| Output price | $25/1M tokens | $1.80/1M tokens |
| Providers |
Capabilities
| Capability | Claude Opus 4.7 | Llama 3.2 90B Instruct |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | Yes | 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 reasoning mode: Claude Opus 4.7, function calling: Claude Opus 4.7, tool use: Claude Opus 4.7, and code execution: Claude Opus 4.7. Both models share vision, multimodal input, and structured outputs, 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, Claude Opus 4.7 lists $5/1M input and $25/1M output tokens on the cheapest tracked provider, while Llama 3.2 90B Instruct lists $1.35/1M input and $1.80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.2 90B Instruct lower by about $9.52 per million blended tokens. Availability is 6 providers versus 1, so concentration risk also matters.
Choose Claude Opus 4.7 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Llama 3.2 90B Instruct when vision-heavy evaluation and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which has a larger context window, Claude Opus 4.7 or Llama 3.2 90B Instruct?
Claude Opus 4.7 supports 1m tokens, while Llama 3.2 90B Instruct supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Claude Opus 4.7 or Llama 3.2 90B Instruct?
Llama 3.2 90B Instruct is cheaper on tracked token pricing. Claude Opus 4.7 costs $5/1M input and $25/1M output tokens. Llama 3.2 90B Instruct costs $1.35/1M input and $1.80/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Claude Opus 4.7 or Llama 3.2 90B Instruct open source?
Claude Opus 4.7 is listed under Proprietary. Llama 3.2 90B Instruct is listed under Llama 3 Community. 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, Claude Opus 4.7 or Llama 3.2 90B Instruct?
Both Claude Opus 4.7 and Llama 3.2 90B Instruct expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Which is better for multimodal input, Claude Opus 4.7 or Llama 3.2 90B Instruct?
Both Claude Opus 4.7 and Llama 3.2 90B Instruct expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.
Where can I run Claude Opus 4.7 and Llama 3.2 90B Instruct?
Claude Opus 4.7 is available on Anthropic, AWS Bedrock, GCP Vertex AI, Microsoft Foundry, and OpenRouter. Llama 3.2 90B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.