Llama-3.2-90B-Vision-Instruct vs Gemma 2 27B vs Claude Haiku 3.5
Claude Haiku 3.5 comes out ahead, 48 to 44 and 28 on our weighted score, though Gemma 2 27B is 2.5× cheaper per token.
MetaLlama-3.2-90B-Vision-Instruct
44/100- ECI125.5
- Price—
- Context128K
GoogleGemma 2 27B
28/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
- Our pick
AnthropicClaude Haiku 3.5
48/100- ECI127.0
- Price$0.80 / $4.00
- Context200K
Claude Haiku 3.5 is our pick
Claude Haiku 3.5 is the better all-round choice, scoring 48/100 against Llama-3.2-90B-Vision-Instruct (44) and Gemma 2 27B (28). It leads on capability, inputs & features and context window. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityClaude Haiku 3.5Capabilities Index (ECI): Claude Haiku 3.5 127.0 · Llama-3.2-90B-Vision-Instruct 125.5 · Gemma 2 27B 122.1
- Lowest priceGemma 2 27BGemma 2 27B $0.65 · Claude Haiku 3.5 $1.60 per 1M tokens (3:1 blend) · Llama-3.2-90B-Vision-Instruct unpriced
- Longest contextClaude Haiku 3.5Claude Haiku 3.5 200,000 · Llama-3.2-90B-Vision-Instruct 128,000 · Gemma 2 27B 8,192 tokens
- Widest inputsClaude Haiku 3.5Llama-3.2-90B-Vision-Instruct: Text, Images · Gemma 2 27B: Text · Claude Haiku 3.5: Text, Images, PDFs
- Self-hostingLlama-3.2-90B-Vision-Instruct and Gemma 2 27BPublishes downloadable weights (Llama 3.2 Community License)
| Measure | Weight | Llama-3.2-90B-Vision-Instruct | Gemma 2 27B | Claude Haiku 3.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 46 | 42 | 48 |
| Inputs & features | 20% | 50 | 0 | 60 |
| Context window | 13% | 24 | 0 | 32 |
| Overall | 100% | 44/100 | 28/100 | 48/100 |
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 | Gemma 2 27BGoogle | Claude Haiku 3.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 125.5 | 122.1 | 127.0 (best) |
| ECI rank | #150 of 165 | #152 of 165 | #147 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 41.0% (best) | 36.5% | 38.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | 2.6% | 1.4% | 4.3% (best) |
| Price per million tokens | |||
| Input | — | $0.65 (best) | $0.80 |
| Output | — | $0.65 (best) | $4.00 |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.65 (best) | $1.60 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 3 providers | Median of 3 providers |
| Limits | |||
| Context window | 128,000 tokens | 8,192 tokens | 200,000 tokens (best) |
| Max output | 4,096 tokens | 2,048 tokens | 8,192 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenLlama 3.2 Community License | Open | Proprietary |
| API model ID | — | — | — |
| API providers | 1 | 3 | 4 (best) |
| Released | Sep 25, 2024 | Jul 13, 2024 | Oct 22, 2024 |
| Knowledge cutoff | Dec 2023 | Jun 30, 2024 | Jul 31, 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—
- Gemma 2 27B$7.80
- Claude Haiku 3.5$16.00
Which should you choose?
Which is better: Llama-3.2-90B-Vision-Instruct, Gemma 2 27B or Claude Haiku 3.5?
Claude Haiku 3.5 is the better all-round choice, scoring 48/100 against Llama-3.2-90B-Vision-Instruct (44) and Gemma 2 27B (28). 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, Gemma 2 27B or Claude Haiku 3.5?
Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). Claude Haiku 3.5 costs $0.80 input / $4.00 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.65 per million tokens for Gemma 2 27B versus $1.60 for Claude Haiku 3.5 (2.5× as much). Llama-3.2-90B-Vision-Instruct has no published per-token price.
Which scores higher on benchmarks?
Claude Haiku 3.5 scores higher on the Capabilities Index (ECI): Claude Haiku 3.5 127.0 (#147 of 165), Llama-3.2-90B-Vision-Instruct 125.5 (#150 of 165) and Gemma 2 27B 122.1 (#152 of 165). The confidence ranges of the top two overlap (121.4–129.2 vs 120.3–127.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama-3.2-90B-Vision-Instruct 41.0%, Claude Haiku 3.5 38.1%, Gemma 2 27B 36.5%; OTIS Mock AIME 2024–2025 — Claude Haiku 3.5 4.3%, Llama-3.2-90B-Vision-Instruct 2.6%, Gemma 2 27B 1.4%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.2-90B-Vision-Instruct, Gemma 2 27B and Claude Haiku 3.5 yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 3.5 leads, which tends to carry over to coding, but test on your own codebase. Note that Gemma 2 27B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Claude Haiku 3.5 has the largest context window at 200,000 tokens, against 128,000 for Llama-3.2-90B-Vision-Instruct and 8,192 for Gemma 2 27B. Maximum output per response: Llama-3.2-90B-Vision-Instruct up to 4,096, Gemma 2 27B up to 2,048, Claude Haiku 3.5 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama-3.2-90B-Vision-Instruct accepts text and images; Gemma 2 27B accepts text; Claude Haiku 3.5 accepts text, images and PDFs. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Llama-3.2-90B-Vision-Instruct and Gemma 2 27B publishes its weights (Llama 3.2 Community License) and can be self-hosted; Claude Haiku 3.5 is proprietary.
Which is newer?
Claude Haiku 3.5 is the newest, released Oct 22, 2024. Llama-3.2-90B-Vision-Instruct came out Sep 25, 2024; Gemma 2 27B came out Jul 13, 2024. Knowledge cutoff: Llama-3.2-90B-Vision-Instruct Dec 2023, Gemma 2 27B Jun 30, 2024, Claude Haiku 3.5 Jul 31, 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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