Llama-3.2-90B-Vision-Instruct vs Mixtral 8x22B Instruct vs Claude Haiku 3.5
Claude Haiku 3.5 comes out ahead, 48 to 44 and 37 on our weighted score, and it is the cheaper option too.
MetaLlama-3.2-90B-Vision-Instruct
44/100- ECI125.5
- Price—
- Context128K
Mistral AIMixtral 8x22B Instruct
37/100- ECI122.0
- Price$2.00 / $6.00
- Context66K
- 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 Mixtral 8x22B Instruct (37). 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 · Mixtral 8x22B Instruct 122.0
- Lowest priceClaude Haiku 3.5Claude Haiku 3.5 $1.60 · Mixtral 8x22B Instruct $3.00 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 · Mixtral 8x22B Instruct 65,536 tokens
- Widest inputsClaude Haiku 3.5Llama-3.2-90B-Vision-Instruct: Text, Images · Mixtral 8x22B Instruct: Text, PDFs · Claude Haiku 3.5: Text, Images, PDFs
- Self-hostingLlama-3.2-90B-Vision-Instruct and Mixtral 8x22B InstructPublishes downloadable weights (Llama 3.2 Community License)
| Measure | Weight | Llama-3.2-90B-Vision-Instruct | Mixtral 8x22B Instruct | Claude Haiku 3.5 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 46 | 42 | 48 |
| Inputs & features | 20% | 50 | 35 | 60 |
| Context window | 13% | 24 | 12 | 32 |
| Overall | 100% | 44/100 | 37/100 | 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 | Mixtral 8x22B InstructMistral AI | Claude Haiku 3.5Anthropic |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 125.5 | 122.0 | 127.0 (best) |
| ECI rank | #150 of 165 | #155 of 165 | #147 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 41.0% (best) | 34.1% | 38.1% |
| OTIS Mock AIME 2024–2025Competition mathematics | 2.6% | — | 4.3% (best) |
| Price per million tokens | |||
| Input | — | $2.00 | $0.80 (best) |
| Output | — | $6.00 | $4.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $3.00 | $1.60 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 5 providers | Median of 3 providers |
| Limits | |||
| Context window | 128,000 tokens | 65,536 tokens | 200,000 tokens (best) |
| Max output | 4,096 tokens | 52,428 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenLlama 3.2 Community License | Open | Proprietary |
| API model ID | — | — | — |
| API providers | 1 | 5 (best) | 4 |
| Released | Sep 25, 2024 | Apr 17, 2024 | Oct 22, 2024 |
| Knowledge cutoff | Dec 2023 | Jan 31, 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—
- Mixtral 8x22B Instruct$32.00
- Claude Haiku 3.5$16.00
Which should you choose?
Which is better: Llama-3.2-90B-Vision-Instruct, Mixtral 8x22B Instruct 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 Mixtral 8x22B Instruct (37). 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, Mixtral 8x22B Instruct or Claude Haiku 3.5?
Claude Haiku 3.5 is cheaper at $0.80 input / $4.00 output per million tokens (median across 3 API providers). Mixtral 8x22B Instruct costs $2.00 input / $6.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $1.60 per million tokens for Claude Haiku 3.5 versus $3.00 for Mixtral 8x22B Instruct (1.9× 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 Mixtral 8x22B Instruct 122.0 (#155 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%, Mixtral 8x22B Instruct 34.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.2-90B-Vision-Instruct, Mixtral 8x22B Instruct 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. All three support tool calling for agent workflows.
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 65,536 for Mixtral 8x22B Instruct. Maximum output per response: Llama-3.2-90B-Vision-Instruct up to 4,096, Mixtral 8x22B Instruct up to 52,428, 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; Mixtral 8x22B Instruct accepts text and PDFs; 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 Mixtral 8x22B Instruct 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; Mixtral 8x22B Instruct came out Apr 17, 2024. Knowledge cutoff: Llama-3.2-90B-Vision-Instruct Dec 2023, Mixtral 8x22B Instruct Jan 31, 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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