Llama-3.2-90B-Vision-Instruct vs Claude Sonnet 3.5 v2
Claude Sonnet 3.5 v2 comes out ahead, 54 to 44 on our weighted score, and it is the cheaper option too.
MetaLlama-3.2-90B-Vision-Instruct
44/100- ECI125.5
- Price—
- Context128K
- Our pick
AnthropicClaude Sonnet 3.5 v2
54/100- ECI133.4
- Price$2.80 / $14.00
- Context200K
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Make it a three-way comparison.
Claude Sonnet 3.5 v2 is our pick
Claude Sonnet 3.5 v2 is the better all-round choice, scoring 54/100 against Llama-3.2-90B-Vision-Instruct (44). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityClaude Sonnet 3.5 v2Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 · Llama-3.2-90B-Vision-Instruct 125.5
- Lowest priceClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2 $5.60 per 1M tokens (3:1 blend) · Llama-3.2-90B-Vision-Instruct unpriced
- Longest contextClaude Sonnet 3.5 v2Claude Sonnet 3.5 v2 200,000 · Llama-3.2-90B-Vision-Instruct 128,000 tokens
- Widest inputsClaude Sonnet 3.5 v2Llama-3.2-90B-Vision-Instruct: Text, Images · Claude Sonnet 3.5 v2: Text, Images, PDFs
- Self-hostingLlama-3.2-90B-Vision-InstructPublishes downloadable weights (Llama 3.2 Community License)
| Measure | Weight | Llama-3.2-90B-Vision-Instruct | Claude Sonnet 3.5 v2 |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 46 | 56 |
| Inputs & features | 20% | 50 | 60 |
| Context window | 13% | 24 | 32 |
| Overall | 100% | 44/100 | 54/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Llama-3.2-90B-Vision-InstructMeta | Claude Sonnet 3.5 v2Anthropic |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 125.5 | 133.4 (best) |
| ECI rank | #150 of 165 | #133 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 41.0% | 55.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 2.6% | 8.5% (best) |
| Price per million tokens | ||
| Input | — | $2.80 |
| Output | — | $14.00 |
| Cached input | — | — |
| Blended (3:1) | — | $5.60 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 2 providers |
| Limits | ||
| Context window | 128,000 tokens | 200,000 tokens (best) |
| Max output | 4,096 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenLlama 3.2 Community License | Proprietary |
| API model ID | — | — |
| API providers | 1 | 3 (best) |
| Released | Sep 25, 2024 | Oct 22, 2024 |
| Knowledge cutoff | Dec 2023 | Apr 30, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama-3.2-90B-Vision-Instruct—
- Claude Sonnet 3.5 v2$56.00
Which should you choose?
Which is better: Llama-3.2-90B-Vision-Instruct or Claude Sonnet 3.5 v2?
Claude Sonnet 3.5 v2 is the better all-round choice, scoring 54/100 against Llama-3.2-90B-Vision-Instruct (44). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Llama-3.2-90B-Vision-Instruct or Claude Sonnet 3.5 v2?
Claude Sonnet 3.5 v2 is cheaper at $2.80 input / $14.00 output per million tokens (median across 2 API providers). . At a typical mix of three input tokens to one output token, that is $5.60 per million tokens for Claude Sonnet 3.5 v2 versus . Llama-3.2-90B-Vision-Instruct has no published per-token price.
Which scores higher on benchmarks?
Claude Sonnet 3.5 v2 scores higher on the Capabilities Index (ECI): Claude Sonnet 3.5 v2 133.4 (#133 of 165) and Llama-3.2-90B-Vision-Instruct 125.5 (#150 of 165). Their confidence ranges do not overlap (128.5–137.7 vs 120.3–127.4), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.5 v2 55.3%, Llama-3.2-90B-Vision-Instruct 41.0%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.5 v2 8.5%, Llama-3.2-90B-Vision-Instruct 2.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.2-90B-Vision-Instruct and Claude Sonnet 3.5 v2 yet, so there is no like-for-like coding score. On overall capability, Claude Sonnet 3.5 v2 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Claude Sonnet 3.5 v2 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.2-90B-Vision-Instruct. Maximum output per response: Llama-3.2-90B-Vision-Instruct up to 4,096, Claude Sonnet 3.5 v2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama-3.2-90B-Vision-Instruct accepts text and images; Claude Sonnet 3.5 v2 accepts text, images and PDFs. Claude Sonnet 3.5 v2 handles the widest range of inputs.
Are any of these open source?
Llama-3.2-90B-Vision-Instruct publishes its weights (Llama 3.2 Community License) and can be self-hosted; Claude Sonnet 3.5 v2 is proprietary.
Which is newer?
Claude Sonnet 3.5 v2 is the newest, released Oct 22, 2024. Llama-3.2-90B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-90B-Vision-Instruct Dec 2023, Claude Sonnet 3.5 v2 Apr 30, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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