Mixtral 8x7B Instruct v0.1 vs Mixtral 8x22B Instruct vs Claude Haiku 3
Claude Haiku 3 comes out ahead, 46 to 34 and 34 on our weighted score.
Mistral AI
Mixtral 8x7B Instruct v0.1
34/100- ECI118.4
- Price$0.444 / $0.579
- Context33K
Mistral AI
Mixtral 8x22B Instruct
34/100- ECI122.0
- Price$2.00 / $6.00
- Context66K
- Our pick
Anthropic
Claude Haiku 3
46/100- ECI118.8
- Price$0.25 / $1.25
- Context200K
Claude Haiku 3 is our pick
Claude Haiku 3 is the better all-round choice, scoring 46/100 against Mixtral 8x7B Instruct v0.1 (34) and Mixtral 8x22B Instruct (34). It leads on inputs & features and context window. Mixtral 8x22B Instruct wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMixtral 8x22B InstructCapabilities Index (ECI): Mixtral 8x22B Instruct 122.0 · Claude Haiku 3 118.8 · Mixtral 8x7B Instruct v0.1 118.4
- Lowest priceMixtral 8x7B Instruct v0.1Mixtral 8x7B Instruct v0.1 $0.478 · Claude Haiku 3 $0.50 · Mixtral 8x22B Instruct $3.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 3Claude Haiku 3 200,000 · Mixtral 8x22B Instruct 65,536 · Mixtral 8x7B Instruct v0.1 32,768 tokens
- Widest inputsClaude Haiku 3Mixtral 8x7B Instruct v0.1: Text · Mixtral 8x22B Instruct: Text, PDFs · Claude Haiku 3: Text, Images, PDFs
- Self-hostingMixtral 8x7B Instruct v0.1 and Mixtral 8x22B InstructPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Mixtral 8x7B Instruct v0.1 | Mixtral 8x22B Instruct | Claude Haiku 3 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 38 | 42 | 38 |
| Price | 25% | 62 | 26 | 61 |
| Inputs & features | 15% | 0 | 35 | 60 |
| Context window | 10% | 0 | 12 | 32 |
| Overall | 100% | 34/100 | 34/100 | 46/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 118.4 | 122.0 (best) | 118.8 |
| ECI rank | #160 of 165 | #155 of 165 (best) | #156 of 165 |
| GPQA DiamondGraduate-level science questions | 30.6% | 34.1% | 36.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 1.8% |
| Price per million tokens | |||
| Input | $0.444 | $2.00 | $0.25 (best) |
| Output | $0.579 (best) | $6.00 | $1.25 |
| Cached input | — | — | — |
| Blended (3:1) | $0.478 (best) | $3.00 | $0.50 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 5 providers | Median of 3 providers |
| Limits | |||
| Context window | 32,768 tokens | 65,536 tokens | 200,000 tokens (best) |
| Max output | 32,768 tokens | 52,428 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | Yes | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | OpenApache 2.0 | Open | Proprietary |
| API model ID | — | — | — |
| API providers | 2 | 5 (best) | 3 |
| Released | Dec 11, 2023 | Apr 17, 2024 | Mar 13, 2024 |
| Knowledge cutoff | — | Jan 31, 2024 | Aug 31, 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Mixtral 8x7B Instruct v0.1$5.60
Mixtral 8x22B Instruct$32.00
Claude Haiku 3$5.00
Which should you choose?
Which is better: Mixtral 8x7B Instruct v0.1, Mixtral 8x22B Instruct or Claude Haiku 3?
Claude Haiku 3 is the better all-round choice, scoring 46/100 against Mixtral 8x7B Instruct v0.1 (34) and Mixtral 8x22B Instruct (34). It leads on inputs & features and context window. Mixtral 8x22B Instruct wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mixtral 8x7B Instruct v0.1, Mixtral 8x22B Instruct or Claude Haiku 3?
Mixtral 8x7B Instruct v0.1 is cheaper at $0.444 input / $0.579 output per million tokens (median across 2 API providers). Claude Haiku 3 costs $0.25 input / $1.25 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 $0.478 per million tokens for Mixtral 8x7B Instruct v0.1 versus $0.50 for Claude Haiku 3 (1× as much) and $3.00 for Mixtral 8x22B Instruct (6.3× as much).
Which scores higher on benchmarks?
Mixtral 8x22B Instruct scores higher on the Capabilities Index (ECI): Mixtral 8x22B Instruct 122.0 (#155 of 165), Claude Haiku 3 118.8 (#156 of 165) and Mixtral 8x7B Instruct v0.1 118.4 (#160 of 165). The confidence ranges of the top two overlap (115.7–124.3 vs 111.7–121.4), so treat the gap as small. On individual benchmarks: GPQA Diamond — Claude Haiku 3 36.3%, Mixtral 8x22B Instruct 34.1%, Mixtral 8x7B Instruct v0.1 30.6%.
Which is better for coding?
There are no published SWE-bench Verified results for Mixtral 8x7B Instruct v0.1, Mixtral 8x22B Instruct and Claude Haiku 3 yet, so there is no like-for-like coding score. On overall capability, Mixtral 8x22B Instruct leads, which tends to carry over to coding, but test on your own codebase. Note that Mixtral 8x7B Instruct v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Claude Haiku 3 has the largest context window at 200,000 tokens, against 65,536 for Mixtral 8x22B Instruct and 32,768 for Mixtral 8x7B Instruct v0.1. Maximum output per response: Mixtral 8x7B Instruct v0.1 up to 32,768, Mixtral 8x22B Instruct up to 52,428, Claude Haiku 3 up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Mixtral 8x7B Instruct v0.1 accepts text; Mixtral 8x22B Instruct accepts text and PDFs; Claude Haiku 3 accepts text, images and PDFs. Claude Haiku 3 handles the widest range of inputs.
Are any of these open source?
Mixtral 8x7B Instruct v0.1 and Mixtral 8x22B Instruct publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 3 is proprietary.
Which is newer?
Mixtral 8x22B Instruct is the newest, released Apr 17, 2024. Claude Haiku 3 came out Mar 13, 2024; Mixtral 8x7B Instruct v0.1 came out Dec 11, 2023. Knowledge cutoff: Mixtral 8x22B Instruct Jan 31, 2024, Claude Haiku 3 Aug 31, 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.