Claude Sonnet 3.5 v2 vs Llama-3.2-90B-Vision-Instruct vs GPT-4o
Too close to call on our weighted score (Claude Sonnet 3.5 v2 54, GPT-4o 51, Llama-3.2-90B-Vision-Instruct 44). The right pick depends on what you value most.
Anthropic
Claude Sonnet 3.5 v2
54/100- ECI133.4
- Price$2.80 / $14.00
- Context200K
Meta
Llama-3.2-90B-Vision-Instruct
44/100- ECI125.5
- Price—
- Context128K
OpenAI
GPT-4o
51/100- ECI129.0
- Price$2.50 / $10.00
- Context128K
Too close to call
It is close. Our weighted score puts them within 3 points (Claude Sonnet 3.5 v2 54/100, GPT-4o 51/100, Llama-3.2-90B-Vision-Instruct 44/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and GPT-4o on price. 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 · GPT-4o 129.0 · Llama-3.2-90B-Vision-Instruct 125.5
- Lowest priceGPT-4oGPT-4o $4.38 · Claude 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 · GPT-4o 128,000 tokens
- Widest inputsClaude Sonnet 3.5 v2 and GPT-4oClaude Sonnet 3.5 v2: Text, Images, PDFs · Llama-3.2-90B-Vision-Instruct: Text, Images · GPT-4o: Text, Images, PDFs
- Self-hostingLlama-3.2-90B-Vision-InstructPublishes downloadable weights (Llama 3.2 Community License)
| Measure | Weight | Claude Sonnet 3.5 v2 | Llama-3.2-90B-Vision-Instruct | GPT-4o |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 56 | 46 | 51 |
| Inputs & features | 20% | 60 | 50 | 70 |
| Context window | 13% | 32 | 24 | 24 |
| Overall | 100% | 54/100 | 44/100 | 51/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 133.4 (best) | 125.5 | 129.0 |
| ECI rank | #133 of 165 (best) | #150 of 165 | #141 of 165 |
| GPQA DiamondGraduate-level science questions | 55.3% (best) | 41.0% | 48.9% |
| OTIS Mock AIME 2024–2025Competition mathematics | 8.5% (best) | 2.6% | 6.3% |
| Price per million tokens | |||
| Input | $2.80 | — | $2.50 (best) |
| Output | $14.00 | — | $10.00 (best) |
| Cached input | — | — | $1.25 |
| Blended (3:1) | $5.60 | — | $4.38 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Median of 2 providers | — | Official OpenAI API |
| Limits | |||
| Context window | 200,000 tokens (best) | 128,000 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 4,096 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | OpenLlama 3.2 Community License | Proprietary |
| API model ID | — | — | gpt-4o |
| API providers | 3 | 1 | 26 (best) |
| Released | Oct 22, 2024 | Sep 25, 2024 | May 13, 2024 |
| Knowledge cutoff | Apr 30, 2024 | Dec 2023 | Sep 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Claude Sonnet 3.5 v2$56.00
Llama-3.2-90B-Vision-Instruct—
GPT-4o$45.00
Which should you choose?
Which is better: Claude Sonnet 3.5 v2, Llama-3.2-90B-Vision-Instruct or GPT-4o?
It is close. Our weighted score puts them within 3 points (Claude Sonnet 3.5 v2 54/100, GPT-4o 51/100, Llama-3.2-90B-Vision-Instruct 44/100), so choose by what matters most for your work: Claude Sonnet 3.5 v2 for raw capability and GPT-4o on price. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Claude Sonnet 3.5 v2, Llama-3.2-90B-Vision-Instruct or GPT-4o?
GPT-4o is cheaper at $2.50 input / $10.00 output per million tokens (official OpenAI API price). Claude Sonnet 3.5 v2 costs $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 $4.38 per million tokens for GPT-4o versus $5.60 for Claude Sonnet 3.5 v2 (1.3× as much). 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), GPT-4o 129.0 (#141 of 165) and Llama-3.2-90B-Vision-Instruct 125.5 (#150 of 165). The confidence ranges of the top two overlap (128.5–137.7 vs 124.7–131.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Sonnet 3.5 v2 55.3%, GPT-4o 48.9%, Llama-3.2-90B-Vision-Instruct 41.0%; OTIS Mock AIME 2024–2025 — Claude Sonnet 3.5 v2 8.5%, GPT-4o 6.3%, Llama-3.2-90B-Vision-Instruct 2.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Sonnet 3.5 v2, Llama-3.2-90B-Vision-Instruct and GPT-4o 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. All three 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 and 128,000 for GPT-4o. Maximum output per response: Claude Sonnet 3.5 v2 up to 8,192, Llama-3.2-90B-Vision-Instruct up to 4,096, GPT-4o up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Claude Sonnet 3.5 v2 accepts text, images and PDFs; Llama-3.2-90B-Vision-Instruct accepts text and images; GPT-4o 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 and GPT-4o 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; GPT-4o came out May 13, 2024. Knowledge cutoff: Claude Sonnet 3.5 v2 Apr 30, 2024, Llama-3.2-90B-Vision-Instruct Dec 2023, GPT-4o Sep 2023.
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.